Triple

T17849166
Position Surface form Disambiguated ID Type / Status
Subject Pierre Lacotte E445749 entity
Predicate placeOfBirth P1 FINISHED
Object Chatou, France NE NERFINISHED

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: Chatou, France | Statement: [Pierre Lacotte, placeOfBirth, Chatou, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chatou, France
Context triple: [Pierre Lacotte, placeOfBirth, Chatou, France]
  • A. Chatou, France chosen
    Chatou, France is a suburban town on the River Seine near Paris, historically known as an artists’ retreat associated with Impressionist and Fauvist painters.
  • B. Aujac, France
    Aujac, France is a small rural commune in southern France, best known as the birthplace of the historian and memoirist Emmanuel de Las Cases.
  • C. Noailles, France
    Noailles, France is a small commune in northern France known for its historical ties to the noble de Noailles family.
  • D. Vaucresson, France
    Vaucresson, France is a small, affluent suburban commune in the western outskirts of Paris, known for its residential character and proximity to the capital.
  • E. Corbeil, France
    Corbeil, France is a historic town in the Île-de-France region, now part of Corbeil-Essonnes, known for its medieval heritage and proximity to Paris.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48ffd7e2c81909a42cc7ab64e7db9 completed April 19, 2026, 8:19 a.m.
Created at: April 10, 2026, 10:16 a.m.