Triple

T20019934
Position Surface form Disambiguated ID Type / Status
Subject Olympe de Gouges E494829 entity
Predicate placeOfBirth P1 FINISHED
Object Montauban 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: Montauban | Statement: [Olympe de Gouges, placeOfBirth, Montauban]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montauban
Context triple: [Olympe de Gouges, placeOfBirth, Montauban]
  • A. Montauban chosen
    Montauban is a historic city in southern France known for its red-brick architecture and role as the capital of the Tarn-et-Garonne department.
  • B. Montcuq
    Montcuq is a small, historic village in southwestern France, known for its picturesque medieval architecture and rural charm within the Quercy region.
  • C. Calomarde
    Calomarde is a small municipality in the province of Teruel, Aragon, Spain, situated within the mountainous Sierra de Albarracín region.
  • D. Ville d’Auch
    Ville d’Auch is the municipal government of the city of Auch in southwestern France, responsible for local administration, cultural institutions, and public services.
  • E. Gradignan
    Gradignan is a suburban commune in southwestern France’s Gironde department, forming part of the Bordeaux metropolitan area and known for its green spaces and wine-growing surroundings.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623f1598819097ad4fa392540901 completed April 20, 2026, 5:28 p.m.
Created at: April 11, 2026, 3:34 p.m.