Triple

T8849044
Position Surface form Disambiguated ID Type / Status
Subject Canton of Vaud E210585 entity
Predicate containsCity P294 FINISHED
Object Yverdon-les-Bains E104638 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: Yverdon-les-Bains | Statement: [Canton of Vaud, containsCity, Yverdon-les-Bains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yverdon-les-Bains
Context triple: [Canton of Vaud, containsCity, Yverdon-les-Bains]
  • A. Yverdon-les-Bains chosen
    Yverdon-les-Bains is a historic spa town in western Switzerland known for its thermal baths, medieval castle, and location at the southern end of Lake Neuchâtel.
  • B. Carouge
    Carouge is a municipality in southwestern Switzerland known for its historic Sardinian-style old town and vibrant cultural scene, located just south of the city of Geneva.
  • C. Neuchâtel
    Neuchâtel is a French-speaking canton in western Switzerland known for its lakeside capital, watchmaking industry, and historic architecture.
  • D. Aubonne
    Aubonne is a river in western Switzerland that flows through the canton of Vaud before emptying into Lake Geneva.
  • E. Vallorbe
    Vallorbe is a Swiss municipality in the canton of Vaud, known for its location near the French border and its notable karst caves and natural landscapes.
  • 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_69ca838a424c8190b1ecac115c2927e7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60aa6db0819097c3257499200afc completed April 1, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa08315fc8190b901adfc76348e18 completed April 3, 2026, 11:12 a.m.
Created at: March 30, 2026, 6:49 p.m.