ChronoCoexist-WD

Multi-Version Temporal Knowledge Timelines

ChronoCoexist-WD (technical dataset identity: PTC-WD-2026) is an automatically curated source pool of real temporal Wikidata histories. Each timeline keeps one subject and one relation fixed while the answer changes across dated, non-overlapping intervals. It supports research on whether an edited language model can learn a newly arriving value without losing earlier values that remain correct for historical dates.

Important scope: this release is automatic silver data. It is not human-verified gold data and is not a frozen model-specific evaluation split. Every row remains human_approved=false, gold=false, model_eligible=false, and experimental_eligible=false.

Snapshot and exact scale

The source is the complete Wikidata JSON dump frozen on 2026-07-20.

Quantity	Count
Timelines	8,468
Dated versions	25,946
English prompts	110,049
Relations	20
Unique subject QIDs	8,378
Unique answer QIDs	17,207
Chain depth	2–52
Timelines with a repeated answer such as A→B→A	977

The structural strata are:

• PRIMARY_K_GE_3_INTERVAL_VERSIONS: 3,322 timelines and 15,654 versions;
• PAIRWISE_CONTROL_K_EQ_2_INTERVAL_VERSIONS: 5,146 timelines and 10,292 versions.

These are structural labels, not train/test splits.

Configurations

Configuration	Unit	Rows	Intended use
cases (default)	one readable dated fact	25,946	Start here: subject, relation, time and answer first
timelines	one subject–relation history	8,468	Main nested source pool
versions	one dated answer interval	25,946	Flat analysis and model screening
prompts	one safe, unique English query	110,049	Prompt generation and scoring preparation
provenance	one source statement	25,946	Raw Wikidata statement/qualifier/reference audit
relations	one Wikidata property	20	Relation counts and coverage
forecast_scheduled	one timeline	5	Starts after the snapshot; diagnostic only

Use the technical source split in each configuration. It only exposes the source rows through the Hugging Face API; it is not a training split. No experimental train/validation/test split is claimed.

The default viewer is deliberately human-readable. Its first columns are case_id, subject_label, property_label, object_label, time_scope, dates, and the canonical question. Long SHA-256 identities are retained only in later audit columns.

Example

For subject Q1799 (Wrocław) and relation P6 (head of government), the timeline contains:

Valid interval	Answer
2002-11-10 to 2018-11-19	Rafał Dutkiewicz (Q2127075)
2018-11-19 onward	Jacek Sutryk (Q57691411)

One released prompt is:

On 2010-11-14, the head of government of Wrocław was

with accepted answer Rafał Dutkiewicz. See SAMPLE.json for the complete timeline record.

Construction

1. Freeze the 20-relation universe before editor evaluation.
2. Parse the complete 2026-07-20 Wikidata dump.
3. Group statements by exact subject QID and property PID.
4. Preserve statement GUIDs, ranks, qualifiers, qualifier order, references, source indices, and raw statement payloads.
5. Normalize exact-day P580 (start), P582 (end), and P585 (point-in-time) qualifiers while retaining their raw forms.
6. Reject duplicate intervals, strict overlaps, equal starts, multiple open intervals, and open intervals followed by a later version.
7. Retain shared boundaries, gaps, and recurrent answers as explicit diagnostics instead of silently collapsing them.
8. Select bounded per-relation samples using output-blind SHA-256 timeline identities.
9. Join frozen labels and aliases without changing membership.
10. Reject aliases shared by distinct answers in the same timeline, canonicalize answer whitespace, and block globally ambiguous subject labels.
11. Choose deterministic interior probe dates and render relation-aware prompts. Require prompt IDs and UTF-8 prompt bytes to be globally unique.

Other benchmarks informed relation selection and design; their rows were not copied into this release.

Prompt quality status

Timeline status	Count	Meaning
AUTOMATIC_PROMPT_READY_FOR_NEXT_GATE	7,269	Safe automatic prompt packet exists
AUTOMATIC_PROMPT_BLOCKED_UPSTREAM_ALIAS	1,086	Missing or ambiguous label/alias
AUTOMATIC_PROMPT_BLOCKED_ALIAS_LEAKAGE	38	A prompt contains an answer surface
AUTOMATIC_PROMPT_EXCLUDED_TEMPORAL	75	Excluded by temporal routing

Only ready rows contribute to the prompts configuration. A prompt being ready does not make the timeline model-eligible: tokenizer checks and a pre-edit knowledge screen are model-specific and remain pending.

How to create an evaluation subset

For each exact model name and revision:

1. verify that the unedited model retrieves the historical anchor;
2. verify that it does not already retrieve each arriving target;
3. inject later values in chronological order;
4. test every visible dated value after every injection;
5. keep all timelines for one subject in the same experimental split;
6. report free-generation complete-chain success, per-version accuracy, forgetting, paraphrase robustness, locality, and save/reload persistence.

Do not reuse one model's eligibility decisions for another model.

Known limitations

• Wikidata records database state, not guaranteed truth. Facts may be stale, disputed, incomplete, or later corrected.
• All labels and prompts are English-only in this release.
• 10,644 of 25,946 versions have no embedded reference block, although the statement GUID, dump identity, and raw statement provenance are retained.
• Five timelines contain starts after 2026-07-20. They are isolated in the forecast_scheduled configuration and must not be treated as factual current-answer evaluation on the snapshot date.
• Temporal gaps are retained. Use the supplied interior probe_date, not a date in a gap or exactly at an uncertain boundary.
• Relation frequencies are long-tailed. P355 has only three pairwise timelines and no admitted chain of depth three or greater.
• Automatic alias matching may miss valid surface forms. Manual review may improve coverage but would require a separately versioned gold release.
• No implicit-event-time questions or multi-hop questions are included.

Personal and sensitive information

The data contains public Wikidata statements, including statements about living people and relations such as spouse, employer, residence, political party, and position held. Do not use it to infer private information, profile people, or make consequential decisions. Verify sensitive claims against authoritative and current sources.

Licensing and provenance

Wikidata structured data is provided under CC0 1.0. See the Wikidata licensing page. The derived data tables are released under CC0-1.0. LICENSE contains the license text. File hashes and all admitted upstream identities are in checksums.sha256, release_manifest.json, and metadata/.

Reproducibility

The package was built with a fail-closed join and independently validated alias/prompt gates. Parquet files were read back and checked for exact row counts and schemas. The package includes:

• a checksum-bound release manifest;
• the frozen extraction, label, alias, temporal, and prompt manifests;
• the complete prompt-template registry;
• a data dictionary and one complete example.

Citation

The paper citation is not frozen yet. Until then, cite this dataset version, the 2026-07-20 Wikidata snapshot, and Wikidata itself. Please record the exact Hugging Face repository revision used in experiments.