Triple

T7349255
Position Surface form Disambiguated ID Type / Status
Subject Calais Town Hall E169452 entity
Predicate owner P347 FINISHED
Object City of Calais E372722 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: City of Calais | Statement: [Calais Town Hall, owner, City of Calais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Calais
Context triple: [Calais Town Hall, owner, City of Calais]
  • A. City of Calais chosen
    The City of Calais is a historic French port on the English Channel, long serving as a key gateway between France and Britain and known for its strategic military and commercial importance.
  • B. Crevel
    Crevel is a vain, wealthy former perfumer and libertine in Honoré de Balzac’s novel "La Cousine Bette," emblematic of the corrupt bourgeois society he satirizes.
  • C. City of Vienne
    The City of Vienne is a historic commune in southeastern France, renowned for its rich Roman heritage and well-preserved ancient monuments.
  • D. Casteau
    Casteau is a village in Belgium best known as the site of NATO’s Supreme Headquarters Allied Powers Europe (SHAPE).
  • E. Cité
    Cité is a Paris Métro station located on the Île de la Cité in the historic center 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_69c68a5878888190968ce4d04db8d69f completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0f269548190abdad3be6856ae8a completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c810d0aebc8190a7274fbcd3fe11ff completed March 28, 2026, 5:33 p.m.
Created at: March 27, 2026, 3:05 p.m.