Triple

T22545468
Position Surface form Disambiguated ID Type / Status
Subject Lucy Walker E557410 entity
Predicate climbed P6287 FINISHED
Object Aletschhorn 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: Aletschhorn | Statement: [Lucy Walker, climbed, Aletschhorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aletschhorn
Context triple: [Lucy Walker, climbed, Aletschhorn]
  • A. Aletschhorn chosen
    Aletschhorn is a prominent high peak in the Swiss Alps known for its extensive glaciation and challenging alpine climbs.
  • B. Aletschfirn
    Aletschfirn is a high-altitude snow and ice field in the Bernese Alps that feeds and forms the upper part of the Great Aletsch Glacier in Switzerland.
  • C. Täschhorn
    Täschhorn is a prominent 4,491-meter alpine peak in the Swiss canton of Valais, known for its steep faces and challenging climbing routes near the Matterhorn.
  • D. Dufourspitze
    Dufourspitze is the highest peak of the Monte Rosa massif in the Pennine Alps and the second-highest mountain in the Alps and Western Europe.
  • E. Schreckhorn
    Schreckhorn is a prominent and rugged mountain peak in the Swiss Alps, known for its challenging climbs and striking glaciated scenery.
  • 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_69e11e58662081909ae346ab384514ca completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f35b9888190b4e1b50d5097b211 completed April 29, 2026, 1:30 a.m.
Created at: April 16, 2026, 8:51 p.m.