Triple

T20574421
Position Surface form Disambiguated ID Type / Status
Subject Znaim E505176 entity
Predicate twinnedWith P1072 FINISHED
Object Villeneuve-sur-Yonne NE NERFINISHED

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-sur-Yonne | Statement: [Znaim, twinnedWith, Villeneuve-sur-Yonne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villeneuve-sur-Yonne
Context triple: [Znaim, twinnedWith, Villeneuve-sur-Yonne]
  • A. Villeneuve-sur-Yonne chosen
    Villeneuve-sur-Yonne is a historic commune in north-central France situated on the Yonne River, known for its medieval architecture and former role as a royal fortified town.
  • B. Villeneuve-le-Comte
    Villeneuve-le-Comte is a commune in the Seine-et-Marne department in the Île-de-France region of north-central France.
  • C. Villeneuve-Saint-Germain
    Villeneuve-Saint-Germain is a commune in the Aisne department of northern France, situated near the city of Soissons.
  • D. Juvigny
    Juvigny is a small French commune located in the Haute-Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
  • E. Michaux-Chevry
    Michaux-Chevry is the surname of Lucette Michaux-Chevry, a prominent Guadeloupean politician who served in various high-ranking local and national offices in France.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b721588190993ac7b0a9be2736 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a9087af88190a4610ecb29f637ca completed April 20, 2026, 10:30 p.m.
Created at: April 16, 2026, 11:39 a.m.