Triple

T2259149
Position Surface form Disambiguated ID Type / Status
Subject Ferdinand de Lesseps E49996 entity
Predicate placeOfDeath P21 FINISHED
Object La Chenaie E243267 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: La Chenaie | Statement: [Ferdinand de Lesseps, placeOfDeath, La Chenaie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Chenaie
Context triple: [Ferdinand de Lesseps, placeOfDeath, La Chenaie]
  • A. The Woods
    The Woods is a residential neighborhood within the planned community of Burke Centre in Fairfax County, Virginia.
  • B. La Chênaie chosen
    La Chênaie is a residential neighborhood within the municipality of Chêne-Bougeries in the canton of Geneva, Switzerland.
  • C. In the Woods
    In the Woods is a 19th-century landscape painting by American artist Asher B. Durand, exemplifying the Hudson River School’s detailed and reverent depiction of the natural world.
  • D. Le Blaireau
    Le Blaireau is the famous nickname of Bernard Hinault, the legendary French cyclist and multiple Tour de France winner.
  • E. Wildwood
    Wildwood is a popular seaside resort city on the Jersey Shore known for its expansive beaches, lively boardwalk, and classic Doo Wop–style motels.
  • 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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc15ad06c8190b6d0babc17015787 completed March 7, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71c8c9b881909b5292110a87301a completed March 9, 2026, 7:07 a.m.
Created at: March 4, 2026, 7:48 p.m.