Triple

T7280575
Position Surface form Disambiguated ID Type / Status
Subject Dom E163134 entity
Predicate hasSubpeak P7612 FINISHED
Object Hohberghorn E539048 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: Hohberghorn | Statement: [Dom, hasSubpeak, Hohberghorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hohberghorn
Context triple: [Dom, hasSubpeak, Hohberghorn]
  • A. Hohberghorn chosen
    Hohberghorn is a high alpine peak in the Pennine Alps of Switzerland, known as one of the prominent summits near the Dom and Täschhorn.
  • B. Mittelhorn
    Mittelhorn is a notable secondary summit in the Bernese Alps of Switzerland, forming part of the Wetterhorn massif.
  • C. Hösthorn
    Hösthorn is a poetry collection by Swedish Nobel laureate Erik Axel Karlfeldt, known for its evocative depictions of nature and rural life.
  • D. Kuglhorn
    Kuglhorn is a prominent mountain peak located near Tysfjord in Nordland county, northern Norway, known for its striking alpine scenery.
  • E. Joppenbergh Mountain
    Joppenbergh Mountain is a prominent limestone and shale hill in Rosendale, New York, historically known for its extensive cement mining operations and later use as a ski jumping site.
  • 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_69c6885c5964819085b209701769877f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb339b1081909f648864e210f98e completed March 27, 2026, 8:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db379e1c81908ebd4c44504ce5fb completed March 28, 2026, 1:44 p.m.
Created at: March 27, 2026, 2:59 p.m.