Triple

T7375711
Position Surface form Disambiguated ID Type / Status
Subject canton of Calais-2 E170116 entity
Predicate administrativeCenter P1474 FINISHED
Object Calais E30799 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: Calais | Statement: [canton of Calais-2, administrativeCenter, Calais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calais
Context triple: [canton of Calais-2, administrativeCenter, Calais]
  • A. Calais chosen
    Calais is a major French port city on the northern coast, serving as one of the primary crossing points between France and England.
  • B. Calais
    Calais is a figure from Greek mythology, one of the winged sons of Boreas who joined Jason and the Argonauts on their legendary voyage.
  • C. Boulogne
    Boulogne is a French football club known for being one of the early professional teams in N’Golo Kanté’s career.
  • D. Cherbourg
    Cherbourg is a major French port city on the Cotentin Peninsula, known for its strategic naval harbor and cross-Channel ferry connections.
  • E. 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.
  • 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_69c68a5bfaac81909ce7f001dfb70c76 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1a780f88190abf11994e307b6ad completed March 27, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be10c5b081908210981ce9c45bd9 completed March 29, 2026, 5:52 a.m.
Created at: March 27, 2026, 3:07 p.m.