Triple

T14002000
Position Surface form Disambiguated ID Type / Status
Subject Boknafjorden E336848 entity
Predicate hasIsland P970 FINISHED
Object Fosen
Fosen is an island located in Boknafjorden in Rogaland county, Norway.
E1073787 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: Fosen | Statement: [Boknafjorden, hasIsland, Fosen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fosen
Context triple: [Boknafjorden, hasIsland, Fosen]
  • A. Fosen
    Fosen is a peninsula and traditional district in central Norway known for its coastal landscape, wind farms, and location across the Trondheimsfjord from the city of Trondheim.
  • B. Vestland
    Vestland is a county in western Norway known for its dramatic fjords, coastal landscapes, and the city of Bergen.
  • C. Vestlandet
    Vestlandet is the western region of Norway, known for its dramatic fjords, mountains, and coastal landscapes.
  • D. Lofoten
    Lofoten is a dramatic Arctic archipelago in Norway known for its steep mountains, sheltered bays, fishing villages, and views of the midnight sun and Northern Lights.
  • E. Nordlandet
    Nordlandet is one of the main islands and districts of the coastal Norwegian city of Kristiansund.
  • 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: Fosen
Triple: [Boknafjorden, hasIsland, Fosen]
Generated description
Fosen is an island located in Boknafjorden in Rogaland county, Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fosen
Target entity description: Fosen is an island located in Boknafjorden in Rogaland county, Norway.
  • A. Fosen
    Fosen is a peninsula and traditional district in central Norway known for its coastal landscape, wind farms, and location across the Trondheimsfjord from the city of Trondheim.
  • B. Vestland
    Vestland is a county in western Norway known for its dramatic fjords, coastal landscapes, and the city of Bergen.
  • C. Vestlandet
    Vestlandet is the western region of Norway, known for its dramatic fjords, mountains, and coastal landscapes.
  • D. Lofoten
    Lofoten is a dramatic Arctic archipelago in Norway known for its steep mountains, sheltered bays, fishing villages, and views of the midnight sun and Northern Lights.
  • E. Nordlandet
    Nordlandet is one of the main islands and districts of the coastal Norwegian city of Kristiansund.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed06a50819093ddc64f55050689 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbaca180988190bbfc93bd708688d6 completed May 6, 2026, 9:03 p.m.
NEDg Description generation batch_69fbae8f83f481909ac16d4bb66ea79d completed May 6, 2026, 9:11 p.m.
NED2 Entity disambiguation (via description) batch_69fbaf702c94819095347e2599ae9931 completed May 6, 2026, 9:15 p.m.
Created at: April 9, 2026, 10:19 p.m.