Triple

T6588533
Position Surface form Disambiguated ID Type / Status
Subject Bishorn E159288 entity
Predicate viewOf P854 FINISHED
Object Weisshorn E539045 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: Weisshorn | Statement: [Bishorn, viewOf, Weisshorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weisshorn
Context triple: [Bishorn, viewOf, 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. 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.
  • C. Parseierspitze
    Parseierspitze is a prominent mountain peak in the Austrian Alps, noted for its challenging climbs and striking alpine scenery.
  • D. Broad Peak
    Broad Peak is one of the world’s highest mountains, an 8,000-meter-class peak in the Karakoram range on the border of Pakistan and China, renowned for its broad, extended summit ridge.
  • E. Masherbrum
    Masherbrum is a prominent, highly challenging peak in Pakistan’s Karakoram range, known for its dramatic pyramid shape and technical climbing routes.
  • 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_69c688366ce8819083f8883983c0df92 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6aeb0e9d88190aa861e742ff6804e completed March 27, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e42b72c481909f582f4f5b07e3d9 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:55 p.m.