Triple

T13262537
Position Surface form Disambiguated ID Type / Status
Subject Vestvågøy E315834 entity
Predicate hasVillage P4011 FINISHED
Object Bøstad
Bøstad is a small village in the Lofoten archipelago of Nordland county, Norway, known for its scenic coastal landscape and proximity to Viking-era historical sites.
E1048530 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: Bøstad | Statement: [Vestvågøy, hasVillage, Bøstad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bøstad
Context triple: [Vestvågøy, hasVillage, Bøstad]
  • A. Bjerke
    Bjerke is a neighborhood in the Bjerke borough of Oslo, Norway, known primarily as a residential area with local services and amenities.
  • B. Svarstad
    Svarstad is a Norwegian surname associated with individuals such as Maren Svarstad.
  • C. Ottosdal
    Ottosdal is a small agricultural town in South Africa’s North West province, known for its grain farming and rural character.
  • D. Farsund
    Farsund is a coastal town and municipality in southern Norway known for its maritime heritage, beaches, and historic wooden architecture.
  • E. Myklebostad
    Myklebostad is a small village located on the island of Tjeldøya in northern Norway.
  • 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: Bøstad
Triple: [Vestvågøy, hasVillage, Bøstad]
Generated description
Bøstad is a small village in the Lofoten archipelago of Nordland county, Norway, known for its scenic coastal landscape and proximity to Viking-era historical sites.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bøstad
Target entity description: Bøstad is a small village in the Lofoten archipelago of Nordland county, Norway, known for its scenic coastal landscape and proximity to Viking-era historical sites.
  • A. Bjerke
    Bjerke is a neighborhood in the Bjerke borough of Oslo, Norway, known primarily as a residential area with local services and amenities.
  • B. Svarstad
    Svarstad is a Norwegian surname associated with individuals such as Maren Svarstad.
  • C. Ottosdal
    Ottosdal is a small agricultural town in South Africa’s North West province, known for its grain farming and rural character.
  • D. Farsund
    Farsund is a coastal town and municipality in southern Norway known for its maritime heritage, beaches, and historic wooden architecture.
  • E. Myklebostad
    Myklebostad is a small village located on the island of Tjeldøya in northern Norway.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9901b380881909e6520fbb6811084 completed April 11, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69f76b9a5e388190ab75b9f476216894 completed May 3, 2026, 3:36 p.m.
NEDg Description generation batch_69f7763fc23c819098d46ab0906b8764 completed May 3, 2026, 4:22 p.m.
NED2 Entity disambiguation (via description) batch_69f778f01700819099c3e9cbc84f29e4 completed May 3, 2026, 4:33 p.m.
Created at: April 9, 2026, 9:25 p.m.