Triple

T19015918
Position Surface form Disambiguated ID Type / Status
Subject Oeschinen Lake E465347 entity
Predicate hasNearbyPeak P7612 FINISHED
Object Oeschinenhorn 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: Oeschinenhorn | Statement: [Oeschinen Lake, hasNearbyPeak, Oeschinenhorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oeschinenhorn
Context triple: [Oeschinen Lake, hasNearbyPeak, Oeschinenhorn]
  • A. Oeschinenhorn chosen
    Oeschinenhorn is a prominent peak in the Bernese Alps of Switzerland, forming part of the Blüemlisalp massif and known for its rugged alpine terrain and mountaineering routes.
  • B. Lauteraarhorn
    Lauteraarhorn is a prominent, steep pyramidal peak in the Swiss Bernese Alps, known for its challenging climbs and striking glaciated surroundings.
  • C. Riederhorn
    Riederhorn is a mountain in the Swiss Alps overlooking the Aletsch Glacier in the canton of Valais.
  • D. Stanserhorn
    Stanserhorn is a prominent mountain in central Switzerland’s Nidwalden canton, known for its panoramic views over Lake Lucerne and the surrounding Alps and for its open-top cable car.
  • E. 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.
  • 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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6db04fc819094709f223e30a526 completed April 20, 2026, 7:33 a.m.
Created at: April 10, 2026, 12:02 p.m.