Triple

T14975867
Position Surface form Disambiguated ID Type / Status
Subject Kolåstinden E373445 entity
Predicate mountainRange P648 FINISHED
Object Sunnmørsalpene E371983 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: Sunnmørsalpene | Statement: [Kolåstinden, mountainRange, Sunnmørsalpene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sunnmørsalpene
Context triple: [Kolåstinden, mountainRange, Sunnmørsalpene]
  • A. Sunnmørsalpene chosen
    Sunnmørsalpene is a dramatic alpine mountain range in western Norway, renowned for its steep peaks, deep fjords, and popular hiking and ski-touring terrain.
  • B. Alpstein
    Alpstein is a picturesque subrange of the Alps in northeastern Switzerland, known for its dramatic limestone peaks, hiking trails, and traditional Appenzell landscapes.
  • C. Meglisalp
    Meglisalp is a small, picturesque alpine settlement and hiking destination in the Swiss Alpstein mountains, known for its traditional mountain huts and scenic surroundings.
  • D. Alpspitze
    Alpspitze is a prominent pyramid-shaped peak in the Bavarian Alps of Germany, popular for hiking, climbing, and skiing.
  • E. Strahlhorn
    Strahlhorn is a prominent 4,190-meter alpine peak in the Pennine Alps of Switzerland, popular with mountaineers for its glaciated routes and panoramic views.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e8733081908e06b53746eb6eb6 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9692e4fc8190a1194a41fc8a832c completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:51 a.m.