Triple

T9411518
Position Surface form Disambiguated ID Type / Status
Subject Chaim Soutine E226717 entity
Predicate workLocation P7 FINISHED
Object Céret E88275 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Céret | Statement: [Chaim Soutine, workLocation, Céret]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Céret
Context triple: [Chaim Soutine, workLocation, Céret]
  • A. Céret chosen
    Céret is a historic town in southern France near the Spanish border, renowned for its modern art museum and its association with early 20th-century artists like Picasso and Braque.
  • B. Carcès
    Carcès is a commune in the Var department of southeastern France, known for its medieval village center, surrounding vineyards, and proximity to lakes and rivers popular for outdoor activities.
  • C. Marvejols
    Marvejols is a historic town in southern France’s Lozère department, known for its medieval heritage and location near the Aubrac and Margeride regions.
  • D. Saint-Girons
    Saint-Girons is a small town in the Ariège department of southwestern France, situated in the foothills of the Pyrenees.
  • E. Villefranche-de-Conflent
    Villefranche-de-Conflent is a fortified medieval village in the Pyrénées-Orientales department of southern France, renowned for its well-preserved ramparts and status as a UNESCO World Heritage Site.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca843280488190bc65600e843ef9e6 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd525785d48190a76c9940712e093a completed April 1, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107ab67808190a9184c0e8c2e727f completed April 4, 2026, 12:44 p.m.
Created at: March 30, 2026, 7:47 p.m.