Triple

T15774530
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Lille E382452 entity
Predicate contains P35 FINISHED
Object Armentières-Ouest 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-Ouest | Statement: [arrondissement of Lille, contains, Armentières-Ouest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Armentières-Ouest
Context triple: [arrondissement of Lille, contains, Armentières-Ouest]
  • 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. Fricourt
    Fricourt is a village in the Somme department of northern France, notable for its World War I battlefields and military cemeteries.
  • 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. Neuve-Chapelle
    Neuve-Chapelle is a village in northern France notable for being a significant World War I battlefield, particularly during the 1915 Battle of Neuve-Chapelle.
  • E. Quesnoy-sur-Deûle
    Quesnoy-sur-Deûle is a commune in northern France situated along the Deûle River within the Lille metropolitan area.
  • 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_69ffa12b98a48190acc6f6566ef13f94 completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 4:47 a.m.