Triple

T8720055
Position Surface form Disambiguated ID Type / Status
Subject TER Normandie E206987 entity
Predicate connectsCity P4245 FINISHED
Object Cherbourg-en-Cotentin E43987 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: Cherbourg-en-Cotentin | Statement: [TER Normandie, connectsCity, Cherbourg-en-Cotentin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cherbourg-en-Cotentin
Context triple: [TER Normandie, connectsCity, Cherbourg-en-Cotentin]
  • A. Cherbourg chosen
    Cherbourg is a major French port city on the Cotentin Peninsula, known for its strategic naval harbor and cross-Channel ferry connections.
  • B. Valognes
    Valognes is a historic town in northwestern France known for its elegant 17th- and 18th-century mansions and its location on the Cotentin Peninsula in Normandy.
  • C. Yvetot
    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.
  • D. Honfleur
    Honfleur is a historic port town in Normandy, northern France, renowned for its picturesque old harbor, timber-framed houses, and association with Impressionist painters.
  • E. Cabourg
    Cabourg is a seaside resort town in northwestern France, known for its Belle Époque architecture, sandy beaches, and association with writer Marcel Proust.
  • 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_69cf516d9d9081909230441dd349dc9e completed April 3, 2026, 5:34 a.m.
Created at: March 30, 2026, 6:36 p.m.