Triple

T3593325
Position Surface form Disambiguated ID Type / Status
Subject Hjørundfjord E76077 entity
Predicate hasNearbyMountain P651 FINISHED
Object 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.
 E373445 NE FINISHED

How this triple was built (4 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: Kolåstinden | Statement: [Hjørundfjord, hasNearbyMountain, Kolåstinden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kolåstinden
Context triple: [Hjørundfjord, hasNearbyMountain, Kolåstinden]
  • A. Galdhøpiggen
    Galdhøpiggen is the highest mountain in Norway and Scandinavia, located in the Jotunheimen range.
  • B. Hodnefjell
    Hodnefjell is an island that forms part of the Finnøy archipelago in Norway.
  • 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. Higravstinden
    Higravstinden is a prominent mountain peak in Norway’s Lofoten archipelago, known for its rugged alpine terrain and striking coastal views.
  • E. Glittertind
    Glittertind is one of Norway’s highest mountains, located in the Jotunheimen range and known for its glacier-capped summit.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kolåstinden
Triple: [Hjørundfjord, hasNearbyMountain, Kolåstinden]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kolåstinden
Target entity description: 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.
  • A. Galdhøpiggen
    Galdhøpiggen is the highest mountain in Norway and Scandinavia, located in the Jotunheimen range.
  • B. Hodnefjell
    Hodnefjell is an island that forms part of the Finnøy archipelago in Norway.
  • 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. Higravstinden
    Higravstinden is a prominent mountain peak in Norway’s Lofoten archipelago, known for its rugged alpine terrain and striking coastal views.
  • E. Glittertind
    Glittertind is one of Norway’s highest mountains, located in the Jotunheimen range and known for its glacier-capped summit.
  • F. None of above. chosen

Provenance (5 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_69ad85d8042081908af94a04c410dec0 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc15bbbcc81908d6cf95f8e70c6ca completed March 8, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b43307cb548190824bb6704e339bff completed March 13, 2026, 3:53 p.m.
NEDg Description generation batch_69b436ac70a481909a623841b836e1a7 completed March 13, 2026, 4:09 p.m.
NED2 Entity disambiguation (via description) batch_69b43731d4708190abd41b28889c4c88 completed March 13, 2026, 4:11 p.m.
Created at: March 8, 2026, 3:22 p.m.