Triple

T6623904
Position Surface form Disambiguated ID Type / Status
Subject Eygues River E149746 entity
Predicate flowsThrough P225 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: [Eygues River, flowsThrough, Nyons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nyons
Context triple: [Eygues River, flowsThrough, 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. Remiremont
    Remiremont is a historic commune in northeastern France known for its picturesque setting in the Vosges region and its former influential abbey.
  • D. Menthon-Saint-Bernard
    Menthon-Saint-Bernard is a picturesque commune in southeastern France, known for its lakeside setting on Lake Annecy and its historic hilltop château.
  • E. 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.
  • 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_69c687ed8a9c81908bb671717cb192ef completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af7fc054819099a2e58cefd8fed7 completed March 27, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7006cf9e881908a7cb7a8209ed7d2 completed March 27, 2026, 10:10 p.m.
Created at: March 27, 2026, 1:58 p.m.