Triple

T14089186
Position Surface form Disambiguated ID Type / Status
Subject Henri Martin E339076 entity
Predicate workLocation P7 FINISHED
Object Labastide-du-Vert E1080448 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: Labastide-du-Vert | Statement: [Henri Martin, workLocation, Labastide-du-Vert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Labastide-du-Vert
Context triple: [Henri Martin, workLocation, Labastide-du-Vert]
  • A. Labastide-du-Vert chosen
    Labastide-du-Vert is a small rural commune in the Lot department of southwestern France, known for its scenic valley setting and traditional vineyards.
  • B. Labastide-du-Temple
    Labastide-du-Temple is a small rural commune in the Tarn-et-Garonne department in southern France, situated in the Occitanie region.
  • C. Villefranche-de-Lauragais
    Villefranche-de-Lauragais is a small commune in the Haute-Garonne department in southwestern France, known for its traditional Lauragais countryside and proximity to the Canal du Midi.
  • D. Villeneuve-sur-Lot
    Villeneuve-sur-Lot is a historic market town in southwestern France known for its medieval architecture and scenic riverside setting.
  • E. Caudéran
    Caudéran is a residential district in the western part of Bordeaux, France, known for its parks and suburban character.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5ee1ce88819091c983286289337e completed April 14, 2026, 3:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdefe88b481908b3dca1f019e7809 completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:21 p.m.