Triple

T9571422
Position Surface form Disambiguated ID Type / Status
Subject Hof E230925 entity
Predicate hasTwinTown P919 FINISHED
Object Villeneuve-la-Garenne E259630 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: Villeneuve-la-Garenne | Statement: [Hof, hasTwinTown, Villeneuve-la-Garenne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villeneuve-la-Garenne
Context triple: [Hof, hasTwinTown, Villeneuve-la-Garenne]
  • A. Villeneuve-la-Garenne chosen
    Villeneuve-la-Garenne is a suburban commune in the northern part of the Paris metropolitan area in France.
  • B. Villeneuve-Saint-Germain
    Villeneuve-Saint-Germain is a commune in the Aisne department of northern France, situated near the city of Soissons.
  • C. Gournay-le-Guérin
    Gournay-le-Guérin is a small commune in the Eure department of northern France.
  • D. Villeneuve-sur-Fère
    Villeneuve-sur-Fère is a small commune in northern France best known as the birthplace of the poet and dramatist Paul Claudel.
  • E. Arnouville
    Arnouville is a commune in the Val-d'Oise department in the northern suburbs of Paris, France.
  • 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_69ca847f22188190a56e4a97625bef22 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd998bf20881909fad48ecb16dfa31 completed April 1, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f60aa508190b3966f4b917c41b5 completed April 4, 2026, 11:31 p.m.
Created at: March 30, 2026, 8:04 p.m.