Triple

T3899875
Position Surface form Disambiguated ID Type / Status
Subject Tullistes E90458 entity
Predicate hasRelatedTerm P37 FINISHED
Object Corrèze E82169 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: Corrèze | Statement: [Tullistes, hasRelatedTerm, Corrèze]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Corrèze
Context triple: [Tullistes, hasRelatedTerm, Corrèze]
  • A. Tarn-et-Garonne
    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. Corrèze department chosen
    Corrèze department is an administrative division in south-central France, in the Nouvelle-Aquitaine region, known for its rural landscapes, historic towns, and the Massif Central foothills.
  • C. Hautes-Pyrénées
    Hautes-Pyrénées is a department in southwestern France, known for its mountainous landscapes in the Pyrenees and popular pilgrimage site of Lourdes.
  • D. 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.
  • E. Aveyron
    Aveyron is a rural department in southern France known for its rugged landscapes, medieval villages, and traditional gastronomy including Roquefort cheese.
  • 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_69aed95d315881908cbf1bf4a7215fbf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecf17ef4819083db0a22e24d5b89 completed March 9, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b39f55c819099e5ce90137de570 completed March 14, 2026, 2:05 p.m.
Created at: March 9, 2026, 3:21 p.m.