Triple

T15529189
Position Surface form Disambiguated ID Type / Status
Subject Alver Municipality E370164 entity
Predicate containsSettlement P847 FINISHED
Object Alversund
Alversund is a small village in Vestland county, western Norway, known for its coastal setting and proximity to the Alversund Bridge.
E1188215 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: Alversund | Statement: [Alver Municipality, containsSettlement, Alversund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alversund
Context triple: [Alver Municipality, containsSettlement, Alversund]
  • A. Alvdal
    Alvdal is a rural municipality in Innlandet county, Norway, known for its agricultural landscape, outdoor recreation, and association with the author Kjell Aukrust.
  • B. Vennesla
    Vennesla is a municipality in Agder county in southern Norway, known for its industrial heritage and scenic river valley setting.
  • C. Tingvoll
    Tingvoll is a small municipality and village area in western Norway known for its rural landscape, fjords, and agricultural traditions.
  • D. Bremanger
    Bremanger is a coastal municipality in Vestland county, Norway, known for its rugged fjord landscape, fishing communities, and scenic beaches like Grotlesanden.
  • E. Ottosdal
    Ottosdal is a small agricultural town in South Africa’s North West province, known for its grain farming and rural character.
  • 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: Alversund
Triple: [Alver Municipality, containsSettlement, Alversund]
Generated description
Alversund is a small village in Vestland county, western Norway, known for its coastal setting and proximity to the Alversund Bridge.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alversund
Target entity description: Alversund is a small village in Vestland county, western Norway, known for its coastal setting and proximity to the Alversund Bridge.
  • A. Alvdal
    Alvdal is a rural municipality in Innlandet county, Norway, known for its agricultural landscape, outdoor recreation, and association with the author Kjell Aukrust.
  • B. Vennesla
    Vennesla is a municipality in Agder county in southern Norway, known for its industrial heritage and scenic river valley setting.
  • C. Tingvoll
    Tingvoll is a small municipality and village area in western Norway known for its rural landscape, fjords, and agricultural traditions.
  • D. Bremanger
    Bremanger is a coastal municipality in Vestland county, Norway, known for its rugged fjord landscape, fishing communities, and scenic beaches like Grotlesanden.
  • E. Ottosdal
    Ottosdal is a small agricultural town in South Africa’s North West province, known for its grain farming and rural character.
  • 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_69ffc3b205dc81908c4194a931d94074 completed May 9, 2026, 11:30 p.m.
NEDg Description generation batch_69ffc4ba0a988190b1d93ce6479bac88 completed May 9, 2026, 11:35 p.m.
NED2 Entity disambiguation (via description) batch_69ffc5902904819097a2c5efbde55882 completed May 9, 2026, 11:38 p.m.
Created at: April 10, 2026, 4:05 a.m.