Triple

T16027201
Position Surface form Disambiguated ID Type / Status
Subject Bremanger E388745 entity
Predicate hasMountain P10602 FINISHED
Object Heilefjellet
Heilefjellet is a mountain located in the coastal municipality of Bremanger in Vestland county, western Norway.
E1190529 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: Heilefjellet | Statement: [Bremanger, hasMountain, Heilefjellet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heilefjellet
Context triple: [Bremanger, hasMountain, Heilefjellet]
  • A. Ramnefjellet
    Ramnefjellet is a mountain in Norway best known for the massive rockslides in the early 20th century that caused catastrophic tsunamis in the nearby lake Lovatnet.
  • B. Hodnefjell
    Hodnefjell is an island that forms part of the Finnøy archipelago in Norway.
  • C. Saltfjellet
    Saltfjellet is a large mountainous region in northern Norway known for its rugged peaks, extensive plateau, and the Saltfjellet–Svartisen National Park.
  • D. Narvikfjellet
    Narvikfjellet is a Norwegian mountain and ski resort near Narvik, known for its scenic fjord views and opportunities for skiing and outdoor recreation.
  • E. Mount Fløyen
    Mount Fløyen is a popular mountain and viewpoint overlooking the city of Bergen in Norway, known for its scenic hiking trails and panoramic city and fjord views.
  • 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: Heilefjellet
Triple: [Bremanger, hasMountain, Heilefjellet]
Generated description
Heilefjellet is a mountain located in the coastal municipality of Bremanger in Vestland county, western Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Heilefjellet
Target entity description: Heilefjellet is a mountain located in the coastal municipality of Bremanger in Vestland county, western Norway.
  • A. Ramnefjellet
    Ramnefjellet is a mountain in Norway best known for the massive rockslides in the early 20th century that caused catastrophic tsunamis in the nearby lake Lovatnet.
  • B. Hodnefjell
    Hodnefjell is an island that forms part of the Finnøy archipelago in Norway.
  • C. Saltfjellet
    Saltfjellet is a large mountainous region in northern Norway known for its rugged peaks, extensive plateau, and the Saltfjellet–Svartisen National Park.
  • D. Narvikfjellet
    Narvikfjellet is a Norwegian mountain and ski resort near Narvik, known for its scenic fjord views and opportunities for skiing and outdoor recreation.
  • E. Mount Fløyen
    Mount Fløyen is a popular mountain and viewpoint overlooking the city of Bergen in Norway, known for its scenic hiking trails and panoramic city and fjord views.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18328707c8190b9a444c78faaaa04 completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbcfd39c81909bfddfe95f9ad7d2 completed May 10, 2026, 1:13 a.m.
NEDg Description generation batch_69ffdc813208819088519396fa5298a6 completed May 10, 2026, 1:16 a.m.
NED2 Entity disambiguation (via description) batch_69ffdced694c8190a196ae36e5d6a99e completed May 10, 2026, 1:18 a.m.
Created at: April 10, 2026, 4:56 a.m.