Triple

T17405011
Position Surface form Disambiguated ID Type / Status
Subject Diocese of Tulle E423189 entity
Predicate locatedInFormerProvince P25414 FINISHED
Object Limousin NE NERFINISHED

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: Limousin | Statement: [Diocese of Tulle, locatedInFormerProvince, Limousin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Limousin
Context triple: [Diocese of Tulle, locatedInFormerProvince, Limousin]
  • A. Limousin chosen
    Limousin is a former administrative region in central France known for its rural landscapes, cattle breeding, and historic towns such as Limoges and Tulle.
  • B. Charolais
    Charolais is a historic rural region in eastern France renowned for its high-quality beef cattle and rich agricultural traditions.
  • C. Salers
    Salers is a picturesque medieval village in France’s Cantal department, renowned for its well-preserved stone architecture, traditional Auvergne culture, and namesake Salers cattle and cheese.
  • D. Nivernais cattle
    Nivernais cattle are a traditional French draught and beef cattle breed originating from the Nivernais region, known for their strength and distinctive dark coat.
  • E. Hereford cattle
    Hereford cattle are a widely recognized British beef breed known for their distinctive red bodies with white faces, hardiness, and efficient meat production.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43b068248819088871d79f8a38f30 completed April 19, 2026, 2:16 a.m.
Created at: April 10, 2026, 5:45 a.m.