Triple

T23068909
Position Surface form Disambiguated ID Type / Status
Subject Weissmieshütte E575134 entity
Predicate hasViewOf P854 FINISHED
Object Lagginhorn 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: Lagginhorn | Statement: [Weissmieshütte, hasViewOf, Lagginhorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lagginhorn
Context triple: [Weissmieshütte, hasViewOf, Lagginhorn]
  • A. Lagginhorn chosen
    Lagginhorn is a prominent 4,000-meter-class mountain in the Swiss Pennine Alps, known for its relatively accessible routes and panoramic views over the surrounding Valais peaks.
  • B. Kuglhorn
    Kuglhorn is a prominent mountain peak located near Tysfjord in Nordland county, northern Norway, known for its striking alpine scenery.
  • C. Hornschuch
    Hornschuch is a German surname most notably associated with Karl Georg Hornschuch, a 19th-century botanist and bryologist.
  • D. Balmhorn
    Balmhorn is a prominent mountain in the Bernese Alps of Switzerland, known for its glaciated slopes and classic alpine climbing routes.
  • E. Birchills
    Birchills is a residential and industrial district within the town of Walsall in the West Midlands, England.
  • 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f189a5aa4081909b3f0dc92877323d completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:55 p.m.