Triple

T16262822
Position Surface form Disambiguated ID Type / Status
Subject Svellnosbreen E394795 entity
Predicate hasNearbyMountain P651 FINISHED
Object Styggehøe
Styggehøe is a mountain in Norway, likely located in the Jotunheimen region and known for its proximity to the Svellnosbreen glacier.
 E1204143 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: Styggehøe | Statement: [Svellnosbreen, hasNearbyMountain, Styggehøe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Styggehøe
Context triple: [Svellnosbreen, hasNearbyMountain, Styggehøe]
  • A. Eigtved
    Eigtved is a Danish surname most notably associated with Nicolai Eigtved, an 18th-century architect central to the development of Copenhagen’s Rococo architecture.
  • B. Kvænangen
    Kvænangen is a fjord in northern Norway known for its dramatic coastal scenery, rich marine life, and traditional fishing communities.
  • C. Løddesøl
    Løddesøl is a small village in Froland municipality in Agder county in southern Norway.
  • D. Vildbjerg
    Vildbjerg is a Danish town that serves as the administrative center of the former Trehøje Municipality in the Central Denmark Region.
  • E. Strynø
    Strynø is a small Danish island in the Baltic Sea known for its rural charm, traditional village environment, and location between the larger islands of Langeland and Ærø.
  • 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: Styggehøe
Triple: [Svellnosbreen, hasNearbyMountain, Styggehøe]
Generated description
Styggehøe is a mountain in Norway, likely located in the Jotunheimen region and known for its proximity to the Svellnosbreen glacier.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Styggehøe
Target entity description: Styggehøe is a mountain in Norway, likely located in the Jotunheimen region and known for its proximity to the Svellnosbreen glacier.
  • A. Eigtved
    Eigtved is a Danish surname most notably associated with Nicolai Eigtved, an 18th-century architect central to the development of Copenhagen’s Rococo architecture.
  • B. Kvænangen
    Kvænangen is a fjord in northern Norway known for its dramatic coastal scenery, rich marine life, and traditional fishing communities.
  • C. Løddesøl
    Løddesøl is a small village in Froland municipality in Agder county in southern Norway.
  • D. Vildbjerg
    Vildbjerg is a Danish town that serves as the administrative center of the former Trehøje Municipality in the Central Denmark Region.
  • E. Strynø
    Strynø is a small Danish island in the Baltic Sea known for its rural charm, traditional village environment, and location between the larger islands of Langeland and Ærø.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245c5583c8190901e892238cf8dbd completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017b5f3a8819083128cf2b90cfd84 completed May 10, 2026, 5:29 a.m.
NEDg Description generation batch_6a001978fed48190963b327da30c31f0 completed May 10, 2026, 5:36 a.m.
NED2 Entity disambiguation (via description) batch_6a001a0def548190a1d800f858f3cb02 completed May 10, 2026, 5:39 a.m.
Created at: April 10, 2026, 5:04 a.m.