Triple

T20114168
Position Surface form Disambiguated ID Type / Status
Subject Oeschinen Lake E490409 entity
Predicate hasViewOf P854 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, hasViewOf, Oeschinenhorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oeschinenhorn
Context triple: [Oeschinen Lake, hasViewOf, 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_69da62636cc08190982cc71733a17b8d completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e666e31af081908d8e0c867c388a73 completed April 20, 2026, 5:48 p.m.
Created at: April 11, 2026, 11:29 p.m.