Triple

T21677816
Position Surface form Disambiguated ID Type / Status
Subject William Edward Hall E535019 entity
Predicate climbed P6287 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: [William Edward Hall, climbed, Lagginhorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lagginhorn
Context triple: [William Edward Hall, climbed, 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_69e0c46898008190aa618a4af55bd1ee completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef8a11088081908911af2629f54c1c completed April 27, 2026, 4:08 p.m.
Created at: April 16, 2026, 6:43 p.m.