Triple

T19541507
Position Surface form Disambiguated ID Type / Status
Subject Université Polytechnique Hauts-de-France E488915 entity
Predicate locatedIn P40 FINISHED
Object Valenciennes E112910 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: Valenciennes | Statement: [Université Polytechnique Hauts-de-France, locatedIn, Valenciennes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valenciennes
Context triple: [Université Polytechnique Hauts-de-France, locatedIn, Valenciennes]
  • A. Valenciennes chosen
    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.
  • B. Lillebonne
    Lillebonne is a historic town in northern France’s Normandy region, known for its Roman archaeological remains and medieval heritage.
  • C. 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.
  • D. Saint-Omer
    Saint-Omer is a historic town in northern France known for its medieval architecture, strategic military importance, and role in Franco-Spanish conflicts.
  • E. Leulinghem
    Leulinghem is a village in northern France historically notable as the site where a major truce was concluded during the Hundred Years' War.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63872fda48190bbb1f465cb7b57fe completed April 20, 2026, 2:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a077ecff70881908bf689e600bcb2fe completed May 15, 2026, 8:15 p.m.
Created at: April 10, 2026, 1:41 p.m.