Triple

T8720066
Position Surface form Disambiguated ID Type / Status
Subject TER Normandie E206987 entity
Predicate connectsCity P4245 FINISHED
Object Yvetot E238068 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: Yvetot | Statement: [TER Normandie, connectsCity, Yvetot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yvetot
Context triple: [TER Normandie, connectsCity, Yvetot]
  • A. Yvetot chosen
    Yvetot is a small town in the Seine-Maritime department of Normandy in northern France, historically known as the seat of a medieval "kingdom" within France.
  • B. Evreux
    Evreux is a historic town in northern France, known for its Gothic cathedral and role as the capital of the Eure department in Normandy.
  • C. Condé-sur-Vire
    Condé-sur-Vire is a commune in the Manche department of northwestern France, historically noted as the birthplace of the Jesuit missionary and martyr Jean de Brébeuf.
  • D. Étrépagny
    Étrépagny is a commune in the Eure department of the Normandy region in northern France.
  • E. Pont-Audemer
    Pont-Audemer is a historic market town in northern France known for its picturesque canals and half-timbered houses, often called the "Norman Venice."
  • 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_69ca835811d8819081ea00fd2a2c9a1c completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d02a52c81909f93622ae6920b80 completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0470dd24c8190851f71104c9fdf0f completed April 3, 2026, 11:02 p.m.
Created at: March 30, 2026, 6:36 p.m.