Triple

T8304092
Position Surface form Disambiguated ID Type / Status
Subject Line R E194417 entity
Predicate terminus P388 FINISHED
Object Montereau E343349 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: Montereau | Statement: [Line R, terminus, Montereau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montereau
Context triple: [Line R, terminus, Montereau]
  • A. Montereau-Fault-Yonne chosen
    Montereau-Fault-Yonne is a commune in north-central France where the Yonne River meets the Seine, historically noted as a strategic river junction and site of significant battles.
  • B. Montriond
    Montriond is a small Alpine village and ski resort area in the Haute-Savoie department of southeastern France, known for its proximity to Morzine and the Portes du Soleil ski domain.
  • C. Fremault
    Fremault is the surname of American film and television actress Anita Louise.
  • D. Remigny
    Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
  • E. Les Mureaux
    Les Mureaux is a suburban commune in north-central France known for its aerospace industry and location along the Seine, west of Paris.
  • 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7e8b9f6081909100d1da8a078616 completed March 31, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce39403b548190aa7460a41b59011b completed April 2, 2026, 9:39 a.m.
Created at: March 30, 2026, 5:53 p.m.