Triple

T21364764
Position Surface form Disambiguated ID Type / Status
Subject Valais Alps E526879 entity
Predicate contains P35 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: [Valais Alps, contains, Ober Gabelhorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ober Gabelhorn
Context triple: [Valais Alps, contains, 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_69e0b51d8a308190b09113b3b3f9bc15 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b06e1ba081908a96928a65da5fa2 completed April 22, 2026, 11:26 a.m.
Created at: April 16, 2026, 5:08 p.m.