Triple

T16137426
Position Surface form Disambiguated ID Type / Status
Subject Askøy Municipality E391567 entity
Predicate hasSettlement P1068 FINISHED
Object Hanevik
Hanevik is a small village in western Norway located within Askøy Municipality in Vestland county.
E1306868 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: Hanevik | Statement: [Askøy Municipality, hasSettlement, Hanevik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hanevik
Context triple: [Askøy Municipality, hasSettlement, Hanevik]
  • A. Bjerke
    Bjerke is a neighborhood in the Bjerke borough of Oslo, Norway, known primarily as a residential area with local services and amenities.
  • B. Hjelteryggen
    Hjelteryggen is a small settlement located in Fjell municipality in Vestland county on the western coast of Norway.
  • C. Hauge
    Hauge is a small village in Bremanger Municipality in Vestland county, Norway, known for its coastal setting amid rugged fjord and mountain landscapes.
  • D. Kvikne
    Kvikne is a rural village area in central Norway, known historically for mining and as the birthplace of Nobel Prize–winning writer Bjørnstjerne Bjørnson.
  • E. Hestnes
    Hestnes is a small settlement located within the municipality of Eigersund in Rogaland county, southwestern Norway.
  • 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: Hanevik
Triple: [Askøy Municipality, hasSettlement, Hanevik]
Generated description
Hanevik is a small village in western Norway located within Askøy Municipality in Vestland county.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hanevik
Target entity description: Hanevik is a small village in western Norway located within Askøy Municipality in Vestland county.
  • A. Bjerke
    Bjerke is a neighborhood in the Bjerke borough of Oslo, Norway, known primarily as a residential area with local services and amenities.
  • B. Hjelteryggen
    Hjelteryggen is a small settlement located in Fjell municipality in Vestland county on the western coast of Norway.
  • C. Hauge
    Hauge is a small village in Bremanger Municipality in Vestland county, Norway, known for its coastal setting amid rugged fjord and mountain landscapes.
  • D. Kvikne
    Kvikne is a rural village area in central Norway, known historically for mining and as the birthplace of Nobel Prize–winning writer Bjørnstjerne Bjørnson.
  • E. Hestnes
    Hestnes is a small settlement located within the municipality of Eigersund in Rogaland county, southwestern Norway.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21a05e68881908319454a478cdda5 completed April 17, 2026, 11:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a037c1f2ac48190be5990748207819a completed May 12, 2026, 7:14 p.m.
NEDg Description generation batch_6a037e34ca8c81909bdaa64d3777ffb7 completed May 12, 2026, 7:23 p.m.
NED2 Entity disambiguation (via description) batch_6a037ea9aa208190b82e32b47d04a417 completed May 12, 2026, 7:25 p.m.
Created at: April 10, 2026, 5:01 a.m.