Triple

T9043456
Position Surface form Disambiguated ID Type / Status
Subject Nérac E216695 entity
Predicate partOf P40 FINISHED
Object canton of L'Albret E519533 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: canton of L'Albret | Statement: [Nérac, partOf, canton of L'Albret]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: canton of L'Albret
Context triple: [Nérac, partOf, canton of L'Albret]
  • A. canton of Nérac chosen
    The canton of Nérac is an administrative division in southwestern France centered on the town of Nérac, within the Lot-et-Garonne department.
  • B. Canton of Toulouse-7
    The Canton of Toulouse-7 is an administrative subdivision centered on part of the city of Toulouse in southwestern France.
  • C. canton of L’Entre-Deux-Mers
    The canton of L’Entre-Deux-Mers is an administrative division in southwestern France, located in the Gironde department and known for its wine-producing rural landscapes between the Garonne and Dordogne rivers.
  • D. Canton of Toulouse-2
    The Canton of Toulouse-2 is an administrative subdivision centered on part of the city of Toulouse in southwestern France.
  • E. Canton of Toulouse-1
    The Canton of Toulouse-1 is an administrative subdivision centered on part of the city of Toulouse in southwestern France.
  • 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_69ca83d22d488190adbce5e020e9cd1d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b1228748190be0c4afe6e0bd9a3 completed April 1, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfeba4c5f48190b7fc85f2137dd93e completed April 3, 2026, 4:32 p.m.
Created at: March 30, 2026, 7:09 p.m.