Triple

T7167665
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Nanterre E167111 entity
Predicate containsAdministrativeTerritorialEntity P747 FINISHED
Object Houilles E227648 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: Houilles | Statement: [arrondissement of Nanterre, containsAdministrativeTerritorialEntity, Houilles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Houilles
Context triple: [arrondissement of Nanterre, containsAdministrativeTerritorialEntity, Houilles]
  • A. Houilles chosen
    Houilles is a suburban commune in north-central France, located in the western outskirts of Paris within the Yvelines department.
  • B. 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.
  • C. Beauvais
    Beauvais is a historic city in northern France known for its impressive Gothic cathedral and role as the capital of the Oise department.
  • D. Leulinghem
    Leulinghem is a village in northern France historically notable as the site where a major truce was concluded during the Hundred Years' War.
  • 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_69c68888c10c819095e0383020225758 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e85b4410819098c6531229da51d4 completed March 27, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7adced6b48190bcae9af88f640584 completed March 28, 2026, 10:30 a.m.
Created at: March 27, 2026, 2:48 p.m.