Triple

T20114166
Position Surface form Disambiguated ID Type / Status
Subject Oeschinen Lake E490409 entity
Predicate hasViewOf P854 FINISHED
Object Doldenhorn 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: Doldenhorn | Statement: [Oeschinen Lake, hasViewOf, Doldenhorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doldenhorn
Context triple: [Oeschinen Lake, hasViewOf, Doldenhorn]
  • A. Doldenhorn chosen
    Doldenhorn is a prominent mountain in the Bernese Alps of Switzerland, known for its striking pyramid shape and popular alpine climbing routes.
  • B. Fellhorn
    Fellhorn is a prominent mountain in the Allgäu Alps on the German-Austrian border, popular for hiking and skiing near the town of Oberstdorf.
  • C. Hohberghorn
    Hohberghorn is a high alpine peak in the Pennine Alps of Switzerland, known as one of the prominent summits near the Dom and Täschhorn.
  • D. Hutthurm
    Hutthurm is a municipality in the Bavarian region of southeastern Germany, situated near the city of Passau.
  • E. Tripplehorn
    Tripplehorn is the surname of American actress Jeanne Tripplehorn, known for her roles in films like "Basic Instinct" and "Waterworld" and the TV series "Big Love."
  • 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.