Triple

T19759032
Position Surface form Disambiguated ID Type / Status
Subject French Lorraine E474577 entity
Predicate borders P224 FINISHED
Object French Franche-Comté 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: French Franche-Comté | Statement: [French Lorraine, borders, French Franche-Comté]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: French Franche-Comté
Context triple: [French Lorraine, borders, French Franche-Comté]
  • A. Valentinois
    Valentinois are the inhabitants or natives of Valence, a city in the Drôme department of southeastern France.
  • B. Mâconnais
    Mâconnais is a wine-producing subregion in southern Burgundy, France, best known for its Chardonnay-based white wines.
  • C. Suisse normande
    Suisse normande is a picturesque hilly region in Normandy, France, known for its rugged landscapes, outdoor activities, and scenic river valleys.
  • D. Franche-Comté chosen
    Franche-Comté is a historical region in eastern France bordering Switzerland, known for its mountainous Jura landscapes, distinctive cheeses like Comté, and a past marked by shifting control between France and the Habsburgs.
  • E. Genevois
    Genevois is a regional identity associated with the historical area around Geneva, reflecting its distinct cultural and historical heritage.
  • 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6531e79fc819094a9f88182e90dab completed April 20, 2026, 4:23 p.m.
Created at: April 10, 2026, 1:48 p.m.