Triple

T21832972
Position Surface form Disambiguated ID Type / Status
Subject Weisshorn E539045 entity
Predicate name P16 FINISHED
Object Weisshorn 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: Weisshorn | Statement: [Weisshorn, name, Weisshorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weisshorn
Context triple: [Weisshorn, name, Weisshorn]
  • A. Weisshorn chosen
    Weisshorn is a prominent and sharply pyramidal 4,506-meter peak in the Swiss Alps, renowned as one of the most beautiful and challenging mountains in the Pennine range.
  • B. Aroser Weisshorn
    Aroser Weisshorn is a mountain in the Plessur Alps of eastern Switzerland, known for its scenic alpine views and hiking opportunities near the resort town of Arosa.
  • C. Weisshorn (Bernese Alps)
    Weisshorn (Bernese Alps) is a mountain peak in the Bernese Alps of Switzerland, known for its alpine scenery and popularity among hikers and climbers.
  • D. Distelhorn
    Distelhorn is a mountain peak in the Pennine Alps of Switzerland, forming part of the Weissmies group.
  • E. Parseierspitze
    Parseierspitze is a prominent mountain peak in the Austrian Alps, noted for its challenging climbs and striking alpine scenery.
  • 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.