Triple

T2175462
Position Surface form Disambiguated ID Type / Status
Subject Drôme E48515 entity
Predicate contains P35 FINISHED
Object Nyons E252870 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: Nyons | Statement: [Drôme, contains, Nyons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nyons
Context triple: [Drôme, contains, Nyons]
  • A. Nyons chosen
    Nyons is a small town in southeastern France renowned for its olive production and picturesque setting in the Drôme Provençale region.
  • B. Morges
    Morges is a Swiss town on the shores of Lake Geneva that historically hosted the founding of the World Wildlife Fund and serves as a local cultural and economic center in the canton of Vaud.
  • C. Thonon-les-Bains
    Thonon-les-Bains is a French spa and resort town in the Haute-Savoie region, known for its lakeside setting on Lake Geneva and views of the Alps.
  • D. Corsier-sur-Vevey
    Corsier-sur-Vevey is a small municipality on the shores of Lake Geneva in the canton of Vaud, Switzerland, known as the final home of film legend Charlie Chaplin.
  • E. Bardonnex
    Bardonnex is a small Swiss municipality located in the canton of Geneva, near the country’s border with 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_69a88aa3faa48190995b233af6525815 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbece30888190936853740ff6cb02 completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae893ec6248190900ff61f5f3778ce completed March 9, 2026, 8:47 a.m.
Created at: March 4, 2026, 7:45 p.m.