Triple

T21832996
Position Surface form Disambiguated ID Type / Status
Subject Weisshorn E539045 entity
Predicate nearestMajorTown P3883 FINISHED
Object Zermatt NE NERFINISHED

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: [Weisshorn, nearestMajorTown, Zermatt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zermatt
Context triple: [Weisshorn, nearestMajorTown, 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. Visp
    Visp is a small town in the canton of Valais in southwestern Switzerland, situated in the Rhône valley and known as a regional transport hub and gateway to nearby Alpine resorts.
  • C. Grimentz
    Grimentz is a picturesque traditional Swiss mountain village known for its historic wooden chalets, alpine scenery, and ski and hiking opportunities in the Valais Alps.
  • D. Silvaplana
    Silvaplana is a picturesque municipality in Switzerland’s Upper Engadine region, known for its lakes, mountain scenery, and popular wind- and kitesurfing conditions.
  • E. Gstaad
    Gstaad is an upscale Swiss alpine resort village renowned for its luxury hotels, skiing, and exclusive social scene.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c475cda88190987d08f23caebdc1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0a7a4d2d0819088ded045caeab52d completed April 28, 2026, 12:27 p.m.
Created at: April 16, 2026, 6:55 p.m.