Triple

T15774529
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Lille E382452 entity
Predicate contains P35 FINISHED
Object Armentières-Est E229247 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: Armentières-Est | Statement: [arrondissement of Lille, contains, Armentières-Est]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Armentières-Est
Context triple: [arrondissement of Lille, contains, Armentières-Est]
  • A. Armentières chosen
    Armentières is a commune in northern France near the Belgian border, historically known for its textile industry and World War I significance.
  • B. Montmédy
    Montmédy is a fortified town in northeastern France near the Luxembourg and Belgian borders, historically significant as the intended royal refuge during the failed Flight to Varennes in 1791.
  • C. Somme-Leuze
    Somme-Leuze is a rural municipality in the Walloon region of Belgium, located in the hilly Condroz area and known for its scenic countryside and small villages.
  • D. Beauvechain
    Beauvechain is a municipality in Walloon Brabant, Belgium, known for its rural character and the presence of a major Belgian Air Component base.
  • E. Fricourt
    Fricourt is a village in the Somme department of northern France, notable for its World War I battlefields and military cemeteries.
  • 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_69ff998559088190b1f2942564a42ace completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:47 a.m.