Triple

T4162962
Position Surface form Disambiguated ID Type / Status
Subject Coquelles E91572 entity
Predicate partOfMetropolitanArea P294 FINISHED
Object Calais urban area 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 urban area | Statement: [Coquelles, partOfMetropolitanArea, Calais urban area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calais urban area
Context triple: [Coquelles, partOfMetropolitanArea, Calais urban area]
  • A. Le Havre urban area
    Le Havre urban area is a major French coastal conurbation centered on the port city of Le Havre, known for its maritime industry and post-war modernist architecture.
  • B. Rouen metropolitan area
    The Rouen metropolitan area is an urban and economic hub in northern France centered on the historic city of Rouen along the Seine River.
  • C. 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.
  • D. Reims metropolitan area
    The Reims metropolitan area is an urban agglomeration in northeastern France centered on the city of Reims, known for its historical cathedral and role in the Champagne wine region.
  • E. Villeneuve d’Ascq
    Villeneuve d’Ascq is a suburban city in northern France near Lille, known for its universities, technology parks, and modernist urban planning.
  • 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_69aed9626ebc8190a39de631788bea3e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02a811608190aff8b663498711e8 completed March 9, 2026, 5:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f456bf88190b9b8678476ac3803 completed March 14, 2026, 3:31 p.m.
Created at: March 9, 2026, 3:44 p.m.