Triple

T16027247
Position Surface form Disambiguated ID Type / Status
Subject Vågsøy E388746 entity
Predicate hasVillage P4011 FINISHED
Object Hennøy
Hennøy is a small village located in the municipality of Vågsøy on the western coast of Norway.
E1305260 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: Hennøy | Statement: [Vågsøy, hasVillage, Hennøy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hennøy
Context triple: [Vågsøy, hasVillage, Hennøy]
  • A. Lurøy
    Lurøy is a coastal municipality in Nordland county, Norway, known for its scattered islands, fishing communities, and scenic Arctic landscapes.
  • B. Hjelteryggen
    Hjelteryggen is a small settlement located in Fjell municipality in Vestland county on the western coast of Norway.
  • C. Hisingen
    Hisingen is a large island and district in Gothenburg, Sweden, known for its industrial areas, shipyards, and rapidly developing residential and tech hubs.
  • D. Finnvollheia
    Finnvollheia is a mountain that forms the highest point in the Fosen district of Trøndelag, Norway.
  • E. Hadsel
    Hadsel is a coastal municipality in Nordland county, Norway, known for encompassing several islands in the Vesterålen archipelago, including parts of Hadseløya, Langøya, and Austvågøya.
  • 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: Hennøy
Triple: [Vågsøy, hasVillage, Hennøy]
Generated description
Hennøy is a small village located in the municipality of Vågsøy on the western coast of Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hennøy
Target entity description: Hennøy is a small village located in the municipality of Vågsøy on the western coast of Norway.
  • A. Lurøy
    Lurøy is a coastal municipality in Nordland county, Norway, known for its scattered islands, fishing communities, and scenic Arctic landscapes.
  • B. Hjelteryggen
    Hjelteryggen is a small settlement located in Fjell municipality in Vestland county on the western coast of Norway.
  • C. Hisingen
    Hisingen is a large island and district in Gothenburg, Sweden, known for its industrial areas, shipyards, and rapidly developing residential and tech hubs.
  • D. Finnvollheia
    Finnvollheia is a mountain that forms the highest point in the Fosen district of Trøndelag, Norway.
  • E. Hadsel
    Hadsel is a coastal municipality in Nordland county, Norway, known for encompassing several islands in the Vesterålen archipelago, including parts of Hadseløya, Langøya, and Austvågøya.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18328707c8190b9a444c78faaaa04 completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a035d724d588190a1fa67880c00a9cc completed May 12, 2026, 5:03 p.m.
NEDg Description generation batch_6a036313d0f081908f6fd21f706e666d completed May 12, 2026, 5:27 p.m.
NED2 Entity disambiguation (via description) batch_6a0363640e34819091abe29dd1c96941 completed May 12, 2026, 5:29 p.m.
Created at: April 10, 2026, 4:56 a.m.