Triple

T22087538
Position Surface form Disambiguated ID Type / Status
Subject Lauteraar Glacier E545820 entity
Predicate underlies P4501 FINISHED
Object Schreckhorn 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: Schreckhorn | Statement: [Lauteraar Glacier, underlies, Schreckhorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schreckhorn
Context triple: [Lauteraar Glacier, underlies, Schreckhorn]
  • A. Schreckhorn chosen
    Schreckhorn is a prominent and rugged mountain peak in the Swiss Alps, known for its challenging climbs and striking glaciated scenery.
  • B. Finsteraarhorn
    Finsteraarhorn is a prominent, glaciated peak in the Swiss Alps known for its remote location and striking pyramidal shape.
  • C. Riederhorn
    Riederhorn is a mountain in the Swiss Alps overlooking the Aletsch Glacier in the canton of Valais.
  • D. Fiescherhorn
    Fiescherhorn is a prominent peak in the Bernese Alps of Switzerland, known for its glaciated slopes and challenging alpine climbs.
  • E. Gornergrat
    Gornergrat is a scenic mountain ridge in the Swiss Alps renowned for its panoramic views of the Matterhorn and surrounding glaciers, accessible by a historic cogwheel railway.
  • 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e2e3108190883199f272756e4e completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.