Triple

T15529160
Position Surface form Disambiguated ID Type / Status
Subject Alver Municipality E370164 entity
Predicate administrativeCentre P1474 FINISHED
Object Knarvik
Knarvik is a village in Vestland county, Norway, known as a local commercial and service hub just north of Bergen.
E1283043 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: Knarvik | Statement: [Alver Municipality, administrativeCentre, Knarvik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Knarvik
Context triple: [Alver Municipality, administrativeCentre, Knarvik]
  • A. Farsund
    Farsund is a coastal town and municipality in southern Norway known for its maritime heritage, beaches, and historic wooden architecture.
  • B. Raufoss
    Raufoss is an industrial town in Norway known for its manufacturing sector, particularly in defense and automotive components.
  • C. Austevoll
    Austevoll is a Norwegian island municipality known for its fishing industry and scenic coastal landscape, located off the west coast in the former county of Hordaland.
  • D. Nordfjordeid
    Nordfjordeid is a village in western Norway known as a regional center in Nordfjord and the birthplace of mathematician Sophus Lie.
  • 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: Knarvik
Triple: [Alver Municipality, administrativeCentre, Knarvik]
Generated description
Knarvik is a village in Vestland county, Norway, known as a local commercial and service hub just north of Bergen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Knarvik
Target entity description: Knarvik is a village in Vestland county, Norway, known as a local commercial and service hub just north of Bergen.
  • A. Farsund
    Farsund is a coastal town and municipality in southern Norway known for its maritime heritage, beaches, and historic wooden architecture.
  • B. Raufoss
    Raufoss is an industrial town in Norway known for its manufacturing sector, particularly in defense and automotive components.
  • C. Austevoll
    Austevoll is a Norwegian island municipality known for its fishing industry and scenic coastal landscape, located off the west coast in the former county of Hordaland.
  • D. Nordfjordeid
    Nordfjordeid is a village in western Norway known as a regional center in Nordfjord and the birthplace of mathematician Sophus Lie.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0414620588190958ffde651ccab5f completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a022308f26081909d9c77d8327fee8e completed May 11, 2026, 6:42 p.m.
NEDg Description generation batch_6a0227c9e3408190ad559cd97919235d completed May 11, 2026, 7:02 p.m.
NED2 Entity disambiguation (via description) batch_6a02282bb2748190ad51b83c240cc429 completed May 11, 2026, 7:04 p.m.
Created at: April 10, 2026, 4:05 a.m.