Triple

T16480593
Position Surface form Disambiguated ID Type / Status
Subject Grünhornlücke E400305 entity
Predicate near P350 FINISHED
Object Aletschhorn E119188 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: Aletschhorn | Statement: [Grünhornlücke, near, Aletschhorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aletschhorn
Context triple: [Grünhornlücke, near, 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 (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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e01f6c88190b75a0d6c94786426 completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00758bc924819099f29d01bd8a02a0 completed May 10, 2026, 12:09 p.m.
Created at: April 10, 2026, 5:13 a.m.