Triple

T3701767
Position Surface form Disambiguated ID Type / Status
Subject Troms E80793 entity
Predicate containsTown P847 FINISHED
Object Borkenes
Borkenes is a small coastal village in northern Norway known for its scenic surroundings and traditional fishing and farming activities.
 E408942 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: Borkenes | Statement: [Troms, containsTown, Borkenes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Borkenes
Context triple: [Troms, containsTown, Borkenes]
  • A. Rennesøy
    Rennesøy is an island and former municipality in Rogaland county, southwestern Norway, known for its coastal landscape and proximity to the city of Stavanger.
  • B. Øye
    Øye is a small Norwegian village in the Sunnmøre region, known for its dramatic fjord landscape and the historic Hotel Union Øye.
  • C. Kvitøya
    Kvitøya is a remote, mostly ice-covered island in the far northeastern part of the Svalbard archipelago in the Arctic Ocean.
  • D. Karmøy
    Karmøy is a large island and municipality in Rogaland county, Norway, known for its coastal fishing communities, maritime heritage, and historic Viking sites.
  • E. Finnøy
    Finnøy is a small island municipality in Rogaland county, Norway, known as the rural birthplace of mathematician Niels Henrik Abel.
  • 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: Borkenes
Triple: [Troms, containsTown, Borkenes]
Generated description
Borkenes is a small coastal village in northern Norway known for its scenic surroundings and traditional fishing and farming activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Borkenes
Target entity description: Borkenes is a small coastal village in northern Norway known for its scenic surroundings and traditional fishing and farming activities.
  • A. Rennesøy
    Rennesøy is an island and former municipality in Rogaland county, southwestern Norway, known for its coastal landscape and proximity to the city of Stavanger.
  • B. Øye
    Øye is a small Norwegian village in the Sunnmøre region, known for its dramatic fjord landscape and the historic Hotel Union Øye.
  • C. Kvitøya
    Kvitøya is a remote, mostly ice-covered island in the far northeastern part of the Svalbard archipelago in the Arctic Ocean.
  • D. Karmøy
    Karmøy is a large island and municipality in Rogaland county, Norway, known for its coastal fishing communities, maritime heritage, and historic Viking sites.
  • E. Finnøy
    Finnøy is a small island municipality in Rogaland county, Norway, known as the rural birthplace of mathematician Niels Henrik Abel.
  • 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_69ad8b1793888190a5f70e4b21dc05a1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc547c1848190a1ece46c59b7c43d completed March 8, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5560a42688190b30bce9b7af10db4 completed March 14, 2026, 12:35 p.m.
NEDg Description generation batch_69b55a0e8b5881909cc2de31c238ac80 completed March 14, 2026, 12:52 p.m.
NED2 Entity disambiguation (via description) batch_69b55a6dcc408190b43ef56e5d81bc6c completed March 14, 2026, 12:54 p.m.
Created at: March 8, 2026, 3:33 p.m.