Triple

T21646613
Position Surface form Disambiguated ID Type / Status
Subject Zinal E534234 entity
Predicate nearMountain P31783 FINISHED
Object Ober Gabelhorn 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: Ober Gabelhorn | Statement: [Zinal, nearMountain, Ober Gabelhorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ober Gabelhorn
Context triple: [Zinal, nearMountain, Ober Gabelhorn]
  • A. Ober Gabelhorn chosen
    Ober Gabelhorn is a prominent pyramid-shaped mountain in the Pennine Alps of Switzerland, known for its striking profile and challenging climbing routes.
  • B. Doldenhorn
    Doldenhorn is a prominent mountain in the Bernese Alps of Switzerland, known for its striking pyramid shape and popular alpine climbing routes.
  • C. Kuglhorn
    Kuglhorn is a prominent mountain peak located near Tysfjord in Nordland county, northern Norway, known for its striking alpine scenery.
  • D. Hutthurm
    Hutthurm is a municipality in the Bavarian region of southeastern Germany, situated near the city of Passau.
  • E. Faulhorn
    Faulhorn is a mountain in the Bernese Alps of Switzerland, known for its panoramic views of surrounding peaks and lakes and for hosting one of the oldest mountain hotels in the Alps.
  • 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_69e0c466aec88190ba39c7543dbc8ba2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef591194dc8190a57b28eaddeceff5 completed April 27, 2026, 12:39 p.m.
Created at: April 16, 2026, 6:35 p.m.