Triple

T15760458
Position Surface form Disambiguated ID Type / Status
Subject Lebesby E382081 entity
Predicate containsSettlement P847 FINISHED
Object Veidnes
Veidnes is a small coastal village located in the municipality of Lebesby in northern Norway.
E1177739 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: Veidnes | Statement: [Lebesby, containsSettlement, Veidnes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veidnes
Context triple: [Lebesby, containsSettlement, Veidnes]
  • A. Veitvet
    Veitvet is a residential neighborhood in Oslo, Norway, known for its apartment blocks, local shopping center, and multicultural community.
  • B. Svaneke
    Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
  • C. Innhavet
    Innhavet is a small coastal village in Nordland county, northern Norway, known for its scenic fjord landscape and proximity to the Hamarøy region.
  • D. Heggenes
    Heggenes is a small village in Innlandet county, Norway, serving as the local hub for services and administration in the Øystre Slidre area.
  • E. Tovere
    Tovere is a small locality or hamlet that forms part of the municipality of Moltrasio in northern Italy’s Lake Como area.
  • 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: Veidnes
Triple: [Lebesby, containsSettlement, Veidnes]
Generated description
Veidnes is a small coastal village located in the municipality of Lebesby in northern Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Veidnes
Target entity description: Veidnes is a small coastal village located in the municipality of Lebesby in northern Norway.
  • A. Veitvet
    Veitvet is a residential neighborhood in Oslo, Norway, known for its apartment blocks, local shopping center, and multicultural community.
  • B. Svaneke
    Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
  • C. Innhavet
    Innhavet is a small coastal village in Nordland county, northern Norway, known for its scenic fjord landscape and proximity to the Hamarøy region.
  • D. Heggenes
    Heggenes is a small village in Innlandet county, Norway, serving as the local hub for services and administration in the Øystre Slidre area.
  • E. Tovere
    Tovere is a small locality or hamlet that forms part of the municipality of Moltrasio in northern Italy’s Lake Como area.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b52c548190a0ffa4493a4eb15c completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff9096d65c81908755cae83cc48e61 completed May 9, 2026, 7:52 p.m.
NEDg Description generation batch_69ff929442748190a8c5df31e6730046 completed May 9, 2026, 8:01 p.m.
NED2 Entity disambiguation (via description) batch_69ff935e5d3881908215b6f45b7b6bf5 completed May 9, 2026, 8:04 p.m.
Created at: April 10, 2026, 4:47 a.m.