Triple

T5562882
Position Surface form Disambiguated ID Type / Status
Subject Dent Blanche E145806 entity
Predicate near P350 FINISHED
Object Zinalrothorn E189741 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: Zinalrothorn | Statement: [Dent Blanche, near, Zinalrothorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zinalrothorn
Context triple: [Dent Blanche, near, Zinalrothorn]
  • A. Zinalrothorn chosen
    Zinalrothorn is a prominent mountain peak in the Swiss Pennine Alps, known for its sharp pyramid shape and challenging alpine climbing routes.
  • B. Finsteraarhorn
    Finsteraarhorn is a prominent, glaciated peak in the Swiss Alps known for its remote location and striking pyramidal shape.
  • C. Fiescherhorn
    Fiescherhorn is a prominent peak in the Bernese Alps of Switzerland, known for its glaciated slopes and challenging alpine climbs.
  • D. Augstmatthorn
    Augstmatthorn is a prominent peak in the Emmental Alps of Switzerland, known for its panoramic views over Lake Brienz and its rich alpine wildlife, including ibex.
  • E. Hösthorn
    Hösthorn is a poetry collection by Swedish Nobel laureate Erik Axel Karlfeldt, known for its evocative depictions of nature and rural life.
  • 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_69c008fdae24819081aa002ad99cd966 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0201ba0e88190acd5bfaa5973f2d8 completed March 22, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a139a20c819085f0f4b5105b3aef completed March 23, 2026, 2:11 a.m.
Created at: March 22, 2026, 3:36 p.m.