Triple

T15774504
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Lille E382452 entity
Predicate contains P35 FINISHED
Object Tourcoing E223523 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: Tourcoing | Statement: [arrondissement of Lille, contains, Tourcoing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tourcoing
Context triple: [arrondissement of Lille, contains, Tourcoing]
  • A. Tourcoing chosen
    Tourcoing is a city in northern France near the Belgian border, known as part of the Lille metropolitan area and for its historical textile industry.
  • B. 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.
  • C. Lillebonne
    Lillebonne is a historic town in northern France’s Normandy region, known for its Roman archaeological remains and medieval heritage.
  • D. Valenciennes
    Valenciennes is a historic industrial city in northern France near the Belgian border, known for its former coal and steel industries and its rich artistic and architectural heritage.
  • E. Vandœuvre-lès-Nancy
    Vandœuvre-lès-Nancy is a large suburban commune in northeastern France, forming part of the urban area of Nancy and known for its residential neighborhoods and university facilities.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05198c1588190a65e23c18443eb5c completed April 16, 2026, 3:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff877e67b881908a67b9acc79d998f completed May 9, 2026, 7:14 p.m.
Created at: April 10, 2026, 4:47 a.m.