Triple

T10428306
Position Surface form Disambiguated ID Type / Status
Subject Nannestad E245842 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Hurdal
Hurdal is a rural municipality in Viken county, Norway, known for its forests, lakes, and outdoor recreation areas such as Hurdalssjøen.
E862684 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: Hurdal | Statement: [Nannestad, neighboringMunicipality, Hurdal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hurdal
Context triple: [Nannestad, neighboringMunicipality, Hurdal]
  • A. Maselheim
    Maselheim is a rural municipality in the district of Biberach in the federal state of Baden-Württemberg in southern Germany.
  • B. Hjorthagen
    Hjorthagen is a residential district in northeastern Stockholm, Sweden, known for its mix of historic workers’ housing and modern developments near the Royal National City Park and the Värtan harbor area.
  • C. Hadeland
    Hadeland is a traditional rural district in southeastern Norway known for its agricultural landscape, historic churches, and the Hadeland Glassverk glassworks.
  • D. Suldal
    Suldal is a large rural municipality in southwestern Norway known for its fjords, mountains, and hydroelectric power production.
  • E. Rasdal
    Rasdal is a Norwegian surname associated with former professional footballer Alf-Inge Haaland.
  • 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: Hurdal
Triple: [Nannestad, neighboringMunicipality, Hurdal]
Generated description
Hurdal is a rural municipality in Viken county, Norway, known for its forests, lakes, and outdoor recreation areas such as Hurdalssjøen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hurdal
Target entity description: Hurdal is a rural municipality in Viken county, Norway, known for its forests, lakes, and outdoor recreation areas such as Hurdalssjøen.
  • A. Maselheim
    Maselheim is a rural municipality in the district of Biberach in the federal state of Baden-Württemberg in southern Germany.
  • B. Hjorthagen
    Hjorthagen is a residential district in northeastern Stockholm, Sweden, known for its mix of historic workers’ housing and modern developments near the Royal National City Park and the Värtan harbor area.
  • C. Hadeland
    Hadeland is a traditional rural district in southeastern Norway known for its agricultural landscape, historic churches, and the Hadeland Glassverk glassworks.
  • D. Suldal
    Suldal is a large rural municipality in southwestern Norway known for its fjords, mountains, and hydroelectric power production.
  • E. Rasdal
    Rasdal is a Norwegian surname associated with former professional footballer Alf-Inge Haaland.
  • 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea4a7dcc81909a830e08656a1c0c completed April 7, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fc2d54048190b25f4d168a75ad3a completed April 9, 2026, 7:21 p.m.
NEDg Description generation batch_69d822d76f3481909f7c04be19414b14 completed April 9, 2026, 10:06 p.m.
NED2 Entity disambiguation (via description) batch_69d85a00e7f48190bf87ce9d04acc750 completed April 10, 2026, 2:01 a.m.
Created at: April 6, 2026, 12:13 p.m.