Triple

T15529040
Position Surface form Disambiguated ID Type / Status
Subject Strand E370161 entity
Predicate hasSettlement P1068 FINISHED
Object Bjørheimsbygd
Bjørheimsbygd is a small village in Strand municipality in Rogaland county, southwestern Norway.
E1183888 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: Bjørheimsbygd | Statement: [Strand, hasSettlement, Bjørheimsbygd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bjørheimsbygd
Context triple: [Strand, hasSettlement, Bjørheimsbygd]
  • A. Tørvikbygd
    Tørvikbygd is a small coastal village in the municipality of Kvam in Vestland county, western Norway, known for its scenic fjordside setting and traditional rural character.
  • B. Nordbygda
    Nordbygda is a small rural settlement located within Løten municipality in Innlandet county, Norway.
  • C. Vestbygd
    Vestbygd is a small settlement in the municipality of Lødingen in Nordland county, Norway.
  • D. Bjugn
    Bjugn is a former municipality and coastal community in Trøndelag county, Norway, known for its fishing, agriculture, and location on the Fosen peninsula.
  • E. Bremsnes
    Bremsnes is a village on the island of Averøya in Møre og Romsdal county, Norway, known for its coastal setting and local church.
  • 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: Bjørheimsbygd
Triple: [Strand, hasSettlement, Bjørheimsbygd]
Generated description
Bjørheimsbygd is a small village in Strand municipality in Rogaland county, southwestern Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bjørheimsbygd
Target entity description: Bjørheimsbygd is a small village in Strand municipality in Rogaland county, southwestern Norway.
  • A. Tørvikbygd
    Tørvikbygd is a small coastal village in the municipality of Kvam in Vestland county, western Norway, known for its scenic fjordside setting and traditional rural character.
  • B. Nordbygda
    Nordbygda is a small rural settlement located within Løten municipality in Innlandet county, Norway.
  • C. Vestbygd
    Vestbygd is a small settlement in the municipality of Lødingen in Nordland county, Norway.
  • D. Bjugn
    Bjugn is a former municipality and coastal community in Trøndelag county, Norway, known for its fishing, agriculture, and location on the Fosen peninsula.
  • E. Bremsnes
    Bremsnes is a village on the island of Averøya in Møre og Romsdal county, Norway, known for its coastal setting and local church.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0414620588190958ffde651ccab5f completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffb593258081909dcaf2b37fd28e63 completed May 9, 2026, 10:30 p.m.
NEDg Description generation batch_69ffb6945aec8190a2295e497f6c7cf3 completed May 9, 2026, 10:35 p.m.
NED2 Entity disambiguation (via description) batch_69ffb70b8a3081909ee116014e47a757 completed May 9, 2026, 10:36 p.m.
Created at: April 10, 2026, 4:05 a.m.