Triple

T19419410
Position Surface form Disambiguated ID Type / Status
Subject Place Nationale E485806 entity
Predicate locatedIn P40 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: [Place Nationale, locatedIn, Montauban]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montauban
Context triple: [Place Nationale, locatedIn, 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63213b6ec8190b89982b554a0f6e7 completed April 20, 2026, 2:02 p.m.
Created at: April 10, 2026, 1:37 p.m.