Triple

T4301245
Position Surface form Disambiguated ID Type / Status
Subject Lauragais E99840 entity
Predicate contains P35 FINISHED
Object Castelnaudary E115426 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: Castelnaudary | Statement: [Lauragais, contains, Castelnaudary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castelnaudary
Context triple: [Lauragais, contains, Castelnaudary]
  • A. Castelnaudary chosen
    Castelnaudary is a historic market town in southern France renowned as a culinary capital for its traditional cassoulet dish.
  • B. Montauban
    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.
  • C. Benacre
    Benacre is a small coastal village and civil parish in the county of Suffolk in eastern England, known for its rural landscape and proximity to the Benacre National Nature Reserve.
  • D. Castelroussin
    Castelroussin is the French demonym for an inhabitant of the city of Châteauroux in central France.
  • E. Castelsarrasin
    Castelsarrasin is a commune in the Tarn-et-Garonne department in southern France, known as a historic town on the banks of the Garonne River.
  • 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_69b345528ebc8190b5abc7e95094792d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3509fb2b88190a13ab88a5b924052 completed March 12, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c74d59688190820cef42c4228a3a completed March 14, 2026, 8:38 p.m.
Created at: March 12, 2026, 11:08 p.m.