Triple

T6414438
Position Surface form Disambiguated ID Type / Status
Subject LEX E127787 entity
Predicate connectsCity P4245 FINISHED
Object Evian-les-Bains E78937 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: Evian-les-Bains | Statement: [LEX, connectsCity, Evian-les-Bains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evian-les-Bains
Context triple: [LEX, connectsCity, Evian-les-Bains]
  • A. Évian-les-Bains chosen
    Évian-les-Bains is a French spa and resort town in the Alps renowned worldwide for its mineral water and scenic lakeside setting.
  • B. 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.
  • C. Digne-les-Bains
    Digne-les-Bains is a spa town in southeastern France that serves as the administrative and cultural center of the Alpes-de-Haute-Provence department.
  • D. Divonne-les-Bains
    Divonne-les-Bains is a French spa town in eastern France near the Swiss border, known for its thermal baths, casino, and proximity to Lake Geneva.
  • E. Ussat-les-Bains
    Ussat-les-Bains is a spa village in the Ariège department of southwestern France, known for its thermal baths and proximity to notable caves in the Pyrenees.
  • 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_69c0083815208190a9b299b8e0640218 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c068e6bd3881909b1979de5cdf17fb completed March 22, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640c7946081908bb410fcf905535c completed March 27, 2026, 8:33 a.m.
Created at: March 22, 2026, 4:42 p.m.