Triple

T8126488
Position Surface form Disambiguated ID Type / Status
Subject Zinalrothorn E189741 entity
Predicate isNorthOf P305 FINISHED
Object Ober Gabelhorn E145809 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: Ober Gabelhorn | Statement: [Zinalrothorn, isNorthOf, Ober Gabelhorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ober Gabelhorn
Context triple: [Zinalrothorn, isNorthOf, 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. Kuglhorn
    Kuglhorn is a prominent mountain peak located near Tysfjord in Nordland county, northern Norway, known for its striking alpine scenery.
  • C. 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.
  • D. Stecknadelhorn
    Stecknadelhorn is a high alpine peak in the Pennine Alps of Switzerland, known as one of the prominent summits of the Mischabel range.
  • E. Nadelhorn
    Nadelhorn is a prominent 4,000-meter-class peak in the Swiss Alps, known for its sharp, needle-like summit and popular alpine 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_69ca82bb74848190afb1f18640632c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb438eb778819085296e6cbfa2e70d completed March 31, 2026, 3:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc946b44d08190a042932ee908dc2f completed April 1, 2026, 3:43 a.m.
Created at: March 30, 2026, 5:34 p.m.