Triple

T21953955
Position Surface form Disambiguated ID Type / Status
Subject Brønnøya E542134 entity
Predicate locatedNear P294 FINISHED
Object Nesøya
Nesøya is a small, affluent island in the Oslofjord in Asker, Norway, known for its residential areas, natural surroundings, and proximity to other islands like Brønnøya.
E1529291 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: Nesøya | Statement: [Brønnøya, locatedNear, Nesøya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nesøya
Context triple: [Brønnøya, locatedNear, Nesøya]
  • A. Sørøya
    Sørøya is a large, sparsely populated island in northern Norway known for its rugged coastal landscapes, rich fishing grounds, and opportunities for outdoor activities such as hiking and sea angling.
  • B. Sandsøy
    Sandsøy is a small island settlement in northern Norway known for its coastal scenery and traditional fishing community.
  • C. Vannøya
    Vannøya is a large island in northern Norway known for its rugged coastal landscape, fishing communities, and Arctic climate.
  • D. Rognøya
    Rognøya is an island located in the Norwegian lake Norsjø, known as part of the inland archipelago in Telemark.
  • E. Sydnesøya
    Sydnesøya is a small Norwegian island located within the municipality of Kvinnherad in Vestland county.
  • 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: Nesøya
Triple: [Brønnøya, locatedNear, Nesøya]
Generated description
Nesøya is a small, affluent island in the Oslofjord in Asker, Norway, known for its residential areas, natural surroundings, and proximity to other islands like Brønnøya.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nesøya
Target entity description: Nesøya is a small, affluent island in the Oslofjord in Asker, Norway, known for its residential areas, natural surroundings, and proximity to other islands like Brønnøya.
  • A. Sørøya
    Sørøya is a large, sparsely populated island in northern Norway known for its rugged coastal landscapes, rich fishing grounds, and opportunities for outdoor activities such as hiking and sea angling.
  • B. Sandsøy
    Sandsøy is a small island settlement in northern Norway known for its coastal scenery and traditional fishing community.
  • C. Vannøya
    Vannøya is a large island in northern Norway known for its rugged coastal landscape, fishing communities, and Arctic climate.
  • D. Rognøya
    Rognøya is an island located in the Norwegian lake Norsjø, known as part of the inland archipelago in Telemark.
  • E. Sydnesøya
    Sydnesøya is a small Norwegian island located within the municipality of Kvinnherad in Vestland county.
  • 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_69e0c47ef0e48190a50e1bcc43f4b3fd completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1243dfb4081909bc7a722843ffea7 completed April 28, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0acc7a87888190ad7feba7475667dd completed May 18, 2026, 8:23 a.m.
NEDg Description generation batch_6a0acdc636448190a714b3d9685cd50e completed May 18, 2026, 8:28 a.m.
NED2 Entity disambiguation (via description) batch_6a0ace73088c8190b296e17795c42e1e completed May 18, 2026, 8:31 a.m.
Created at: April 16, 2026, 7:59 p.m.