Triple

T19507784
Position Surface form Disambiguated ID Type / Status
Subject Meråker E488069 entity
Predicate hasMountain P10602 FINISHED
Object Fonnfjellet
Fonnfjellet is a mountain located in the municipality of Meråker in Trøndelag county, central Norway.
E1380045 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: Fonnfjellet | Statement: [Meråker, hasMountain, Fonnfjellet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fonnfjellet
Context triple: [Meråker, hasMountain, Fonnfjellet]
  • A. Narvikfjellet
    Narvikfjellet is a Norwegian mountain and ski resort near Narvik, known for its scenic fjord views and opportunities for skiing and outdoor recreation.
  • B. Heilefjellet
    Heilefjellet is a mountain located in the coastal municipality of Bremanger in Vestland county, western Norway.
  • C. Hodnefjell
    Hodnefjell is an island that forms part of the Finnøy archipelago in Norway.
  • D. Saltfjellet
    Saltfjellet is a large mountainous region in northern Norway known for its rugged peaks, extensive plateau, and the Saltfjellet–Svartisen National Park.
  • E. Norefjell
    Norefjell is a prominent Norwegian mountain range and ski resort area known for its alpine terrain and winter sports facilities.
  • 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: Fonnfjellet
Triple: [Meråker, hasMountain, Fonnfjellet]
Generated description
Fonnfjellet is a mountain located in the municipality of Meråker in Trøndelag county, central Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fonnfjellet
Target entity description: Fonnfjellet is a mountain located in the municipality of Meråker in Trøndelag county, central Norway.
  • A. Narvikfjellet
    Narvikfjellet is a Norwegian mountain and ski resort near Narvik, known for its scenic fjord views and opportunities for skiing and outdoor recreation.
  • B. Heilefjellet
    Heilefjellet is a mountain located in the coastal municipality of Bremanger in Vestland county, western Norway.
  • C. Hodnefjell
    Hodnefjell is an island that forms part of the Finnøy archipelago in Norway.
  • D. Saltfjellet
    Saltfjellet is a large mountainous region in northern Norway known for its rugged peaks, extensive plateau, and the Saltfjellet–Svartisen National Park.
  • E. Norefjell
    Norefjell is a prominent Norwegian mountain range and ski resort area known for its alpine terrain and winter sports facilities.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e635130e708190bb3d70e1abbade2a completed April 20, 2026, 2:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07471f5348819087a442025b06f27d completed May 15, 2026, 4:17 p.m.
NEDg Description generation batch_6a07485e2e74819086ab5b5099079c81 completed May 15, 2026, 4:22 p.m.
NED2 Entity disambiguation (via description) batch_6a07498d29bc8190bb0eaf903dced2b0 completed May 15, 2026, 4:27 p.m.
Created at: April 10, 2026, 1:40 p.m.