Triple

T15217050
Position Surface form Disambiguated ID Type / Status
Subject Jotunheimen National Park E363662 entity
Predicate highestPoint P210 FINISHED
Object Galdhøpiggen E92852 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: Galdhøpiggen | Statement: [Jotunheimen National Park, highestPoint, Galdhøpiggen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Galdhøpiggen
Context triple: [Jotunheimen National Park, highestPoint, Galdhøpiggen]
  • A. Galdhøpiggen chosen
    Galdhøpiggen is the highest mountain in Norway and Scandinavia, located in the Jotunheimen range.
  • B. Kolåstinden
    Kolåstinden is a prominent alpine peak in Norway’s Sunnmøre Alps, renowned among hikers and ski mountaineers for its steep slopes and panoramic fjord views.
  • C. Hovdetoppen
    Hovdetoppen is a mountain in Gjøvik, Norway, notable for housing the underground Gjøvik Olympic Cavern Hall built for the 1994 Winter Olympics.
  • D. Hodnefjell
    Hodnefjell is an island that forms part of the Finnøy archipelago in Norway.
  • E. Gaustatoppen
    Gaustatoppen is a prominent mountain in southern Norway known for its panoramic views, from which you can reportedly see about one-sixth of mainland Norway on clear days.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0076f90c481909989befe031a2cae completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b37e4388190b748e884b3ba7568 completed May 9, 2026, 10:23 a.m.
Created at: April 10, 2026, 3:11 a.m.