Triple

T3648599
Position Surface form Disambiguated ID Type / Status
Subject Karmøy E77362 entity
Predicate hasVillage P4011 FINISHED
Object Veavågen
Veavågen is a coastal village in Karmøy municipality in Rogaland county, Norway, known for its fishing industry and maritime character.
 E376432 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: Veavågen | Statement: [Karmøy, hasVillage, Veavågen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Veavågen
Context triple: [Karmøy, hasVillage, Veavågen]
  • A. Lundarvågen
    Lundarvågen is a coastal bay or inlet located within the municipality of Sokndal in Rogaland county, southwestern Norway.
  • B. Snogebæk
    Snogebæk is a small coastal village and fishing hamlet on the Danish island of Bornholm, known for its harbor, beaches, and holiday atmosphere.
  • C. Moldeelva
    Moldeelva is a river flowing through the Norwegian town of Molde, contributing to its landscape and local environment.
  • D. Sennevika
    Sennevika is a small settlement located on the island of Senja in northern Norway, known for its coastal Arctic landscape.
  • E. Vörå
    Vörå is a bilingual municipality in western Finland known for its rural landscapes and strong Swedish-speaking cultural heritage.
  • 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: Veavågen
Triple: [Karmøy, hasVillage, Veavågen]
Generated description
Veavågen is a coastal village in Karmøy municipality in Rogaland county, Norway, known for its fishing industry and maritime character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Veavågen
Target entity description: Veavågen is a coastal village in Karmøy municipality in Rogaland county, Norway, known for its fishing industry and maritime character.
  • A. Lundarvågen
    Lundarvågen is a coastal bay or inlet located within the municipality of Sokndal in Rogaland county, southwestern Norway.
  • B. Snogebæk
    Snogebæk is a small coastal village and fishing hamlet on the Danish island of Bornholm, known for its harbor, beaches, and holiday atmosphere.
  • C. Moldeelva
    Moldeelva is a river flowing through the Norwegian town of Molde, contributing to its landscape and local environment.
  • D. Sennevika
    Sennevika is a small settlement located on the island of Senja in northern Norway, known for its coastal Arctic landscape.
  • E. Vörå
    Vörå is a bilingual municipality in western Finland known for its rural landscapes and strong Swedish-speaking cultural heritage.
  • 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_69ad85de1b988190a45f8dbfebc806fc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc38c22548190a271a69fb832a5a8 completed March 8, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f3c85348190b1d16179294f7f09 completed March 13, 2026, 5:54 p.m.
NEDg Description generation batch_69b4520fb96481909f54af01fc4a3bbe completed March 13, 2026, 6:06 p.m.
NED2 Entity disambiguation (via description) batch_69b45df65f5c8190a9f25e7da926222a completed March 13, 2026, 6:56 p.m.
Created at: March 8, 2026, 3:24 p.m.