Triple

T12038210
Position Surface form Disambiguated ID Type / Status
Subject Vinje E286593 entity
Predicate borderedBy P224 FINISHED
Object Hjartdal
Hjartdal is a rural municipality in Vestfold og Telemark county, Norway, known for its mountainous landscape, traditional farming communities, and historic stave church.
E994958 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: Hjartdal | Statement: [Vinje, borderedBy, Hjartdal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hjartdal
Context triple: [Vinje, borderedBy, Hjartdal]
  • A. Ottosdal
    Ottosdal is a small agricultural town in South Africa’s North West province, known for its grain farming and rural character.
  • B. Orkdal
    Orkdal was a former municipality in Trøndelag county, Norway, known for its central location in the Orkdalen valley and later incorporation into the larger Orkland municipality.
  • C. Ulriksdal
    Ulriksdal is a district in Solna, Sweden, known for the historic Ulriksdal Palace and its surrounding parklands along the Edsviken inlet.
  • D. Suldal
    Suldal is a large rural municipality in southwestern Norway known for its fjords, mountains, and hydroelectric power production.
  • E. Engerdal
    Engerdal is a sparsely populated municipality in Innlandet county, Norway, known for its vast forests, lakes, and proximity to the Swedish border.
  • 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: Hjartdal
Triple: [Vinje, borderedBy, Hjartdal]
Generated description
Hjartdal is a rural municipality in Vestfold og Telemark county, Norway, known for its mountainous landscape, traditional farming communities, and historic stave church.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hjartdal
Target entity description: Hjartdal is a rural municipality in Vestfold og Telemark county, Norway, known for its mountainous landscape, traditional farming communities, and historic stave church.
  • A. Ottosdal
    Ottosdal is a small agricultural town in South Africa’s North West province, known for its grain farming and rural character.
  • B. Orkdal
    Orkdal was a former municipality in Trøndelag county, Norway, known for its central location in the Orkdalen valley and later incorporation into the larger Orkland municipality.
  • C. Ulriksdal
    Ulriksdal is a district in Solna, Sweden, known for the historic Ulriksdal Palace and its surrounding parklands along the Edsviken inlet.
  • D. Suldal
    Suldal is a large rural municipality in southwestern Norway known for its fjords, mountains, and hydroelectric power production.
  • E. Engerdal
    Engerdal is a sparsely populated municipality in Innlandet county, Norway, known for its vast forests, lakes, and proximity to the Swedish border.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9040a8be881908f4841145a7b4e86 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6684b79c48190a663e9f5504ba20c completed May 2, 2026, 9:10 p.m.
NEDg Description generation batch_69f669527fe881909baeb84ccff506c8 completed May 2, 2026, 9:14 p.m.
NED2 Entity disambiguation (via description) batch_69f669fbb9f88190b0f5cc5bb758d132 completed May 2, 2026, 9:17 p.m.
Created at: April 8, 2026, 9:47 p.m.