Triple

T16445736
Position Surface form Disambiguated ID Type / Status
Subject Montech E399419 entity
Predicate locatedIn P40 FINISHED
Object Tarn-et-Garonne E90794 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: Tarn-et-Garonne | Statement: [Montech, locatedIn, Tarn-et-Garonne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarn-et-Garonne
Context triple: [Montech, locatedIn, Tarn-et-Garonne]
  • A. Tarn-et-Garonne chosen
    Tarn-et-Garonne is a department in the Occitanie region of southern France, known for its agricultural landscapes, historic towns, and location along the Garonne and Tarn rivers.
  • B. Haute-Garonne
    Haute-Garonne is a department in southwestern France, known for its capital city Toulouse and its location spanning from the Pyrenees mountains to the Garonne River valley.
  • C. Haute-Vienne
    Haute-Vienne is a department in west-central France, within the Nouvelle-Aquitaine region, known for its capital Limoges and its historic porcelain industry.
  • D. Lot-et-Garonne department
    Lot-et-Garonne is a department in the Nouvelle-Aquitaine region of southwestern France, known for its agricultural landscapes, river valleys, and historic towns.
  • E. Charente-Maritime
    Charente-Maritime is a coastal department in southwestern France known for its Atlantic shoreline, islands, and maritime heritage.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32cdb5d908190bb6c5cb3c794cf4b completed April 18, 2026, 7:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a005815efc48190868305f428cb9085 completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:10 a.m.