Triple

T2934357
Position Surface form Disambiguated ID Type / Status
Subject Averøya E79229 entity
Predicate hasSettlement P1068 FINISHED
Object Kårvåg
Kårvåg is a small coastal village in western Norway, known as a settlement on the island of Averøya in Møre og Romsdal county.
E311644 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: Kårvåg | Statement: [Averøya, hasSettlement, Kårvåg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kårvåg
Context triple: [Averøya, hasSettlement, Kårvåg]
  • A. Fosnavåg
    Fosnavåg is a small coastal town in western Norway known for its maritime industries and scenic North Sea surroundings.
  • B. Sotra
    Sotra is a large, populated island off the west coast of Norway, known for its rugged coastline, fishing communities, and proximity to the city of Bergen.
  • C. Rolvsøy
    Rolvsøy is a district and former municipality that now forms part of the city of Fredrikstad in Viken county, Norway.
  • D. Ivarsøy
    Ivarsøy is a Norwegian surname most notably borne by Geir Ivarsøy, one of the original developers of the Opera web browser.
  • E. Fløya
    Fløya is a Norwegian women's football club based in Tromsø that competes in the country's league system.
  • 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: Kårvåg
Triple: [Averøya, hasSettlement, Kårvåg]
Generated description
Kårvåg is a small coastal village in western Norway, known as a settlement on the island of Averøya in Møre og Romsdal county.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kårvåg
Target entity description: Kårvåg is a small coastal village in western Norway, known as a settlement on the island of Averøya in Møre og Romsdal county.
  • A. Fosnavåg
    Fosnavåg is a small coastal town in western Norway known for its maritime industries and scenic North Sea surroundings.
  • B. Sotra
    Sotra is a large, populated island off the west coast of Norway, known for its rugged coastline, fishing communities, and proximity to the city of Bergen.
  • C. Rolvsøy
    Rolvsøy is a district and former municipality that now forms part of the city of Fredrikstad in Viken county, Norway.
  • D. Ivarsøy
    Ivarsøy is a Norwegian surname most notably borne by Geir Ivarsøy, one of the original developers of the Opera web browser.
  • E. Fløya
    Fløya is a Norwegian women's football club based in Tromsø that competes in the country's league system.
  • 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_69ad8b0fbab081908f6a61567c045d8d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad983b65f881909b8b7d3dc5c224fd completed March 8, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0867ba1b48190a54d00c32b075548 completed March 10, 2026, 9 p.m.
NEDg Description generation batch_69b0dbda7ab881908b5a3e1e897fcb49 completed March 11, 2026, 3:04 a.m.
NED2 Entity disambiguation (via description) batch_69b0dc3ed9e08190ac6c6357f0084ba6 completed March 11, 2026, 3:06 a.m.
Created at: March 8, 2026, 2:56 p.m.