Triple

T15077007
Position Surface form Disambiguated ID Type / Status
Subject Fjell municipality E380030 entity
Predicate hasIsland P970 FINISHED
Object Toftøy
Toftøy is a Norwegian island located in Vestland county, forming part of the coastal archipelago of western Norway.
 E1158458 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: Toftøy | Statement: [Fjell municipality, hasIsland, Toftøy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Toftøy
Context triple: [Fjell municipality, hasIsland, Toftøy]
  • A. Tøyen
    Tøyen is a neighborhood in Oslo, Norway, known for its cultural institutions, parks, and educational facilities.
  • B. Nøtterøy
    Nøtterøy is a large, populated island and former municipality in Vestfold, Norway, situated in the Oslofjord and known for its coastal landscapes and residential communities.
  • C. Kvitsøy
    Kvitsøy is a small island municipality in southwestern Norway known for its maritime heritage, lighthouse, and rich coastal fishing grounds.
  • D. Ekkerøy
    Ekkerøy is a small coastal village and former island in northern Norway known for its rich birdlife, sandy beaches, and preserved fishing heritage.
  • E. Tingvoll
    Tingvoll is a small municipality and village area in western Norway known for its rural landscape, fjords, and agricultural traditions.
  • 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: Toftøy
Triple: [Fjell municipality, hasIsland, Toftøy]
Generated description
Toftøy is a Norwegian island located in Vestland county, forming part of the coastal archipelago of western Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Toftøy
Target entity description: Toftøy is a Norwegian island located in Vestland county, forming part of the coastal archipelago of western Norway.
  • A. Tøyen
    Tøyen is a neighborhood in Oslo, Norway, known for its cultural institutions, parks, and educational facilities.
  • B. Nøtterøy
    Nøtterøy is a large, populated island and former municipality in Vestfold, Norway, situated in the Oslofjord and known for its coastal landscapes and residential communities.
  • C. Kvitsøy
    Kvitsøy is a small island municipality in southwestern Norway known for its maritime heritage, lighthouse, and rich coastal fishing grounds.
  • D. Ekkerøy
    Ekkerøy is a small coastal village and former island in northern Norway known for its rich birdlife, sandy beaches, and preserved fishing heritage.
  • E. Tingvoll
    Tingvoll is a small municipality and village area in western Norway known for its rural landscape, fjords, and agricultural traditions.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dff7fe5a208190823900b25e298dab completed April 15, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff2ce5d0708190bbfff5d68c5e7a3c completed May 9, 2026, 12:47 p.m.
NEDg Description generation batch_69ff2d991c94819094e00a634d5b0948 completed May 9, 2026, 12:50 p.m.
NED2 Entity disambiguation (via description) batch_69ff2e5077cc819096208137ef5c99bb completed May 9, 2026, 12:53 p.m.
Created at: April 10, 2026, 3:03 a.m.