Triple

T688676
Position Surface form Disambiguated ID Type / Status
Subject Valais E13342 entity
Predicate contains P35 FINISHED
Object Zermatt E83847 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: Zermatt | Statement: [Valais, contains, Zermatt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zermatt
Context triple: [Valais, contains, Zermatt]
  • A. Zermatt chosen
    Zermatt is a renowned Swiss alpine resort village in the canton of Valais, famous for its skiing, mountaineering, and proximity to iconic peaks like the Matterhorn.
  • B. Montreux
    Montreux is a picturesque resort town in southwestern Switzerland, renowned for its lakeside promenade, mild microclimate, and the annual Montreux Jazz Festival.
  • C. 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.
  • D. Bardonnex
    Bardonnex is a small Swiss municipality located in the canton of Geneva, near the country’s border with France.
  • E. Estavayer-le-Lac
    Estavayer-le-Lac is a historic lakeside town in western Switzerland known for its medieval old town, lakeshore beaches, and water sports on Lake Neuchâtel.
  • 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a09669e4819089753204772e1fdd completed March 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a67ef349588190b2d4f6177a2f335e completed March 3, 2026, 6:25 a.m.
Created at: March 1, 2026, 7:36 p.m.