Triple

T645430
Position Surface form Disambiguated ID Type / Status
Subject Rhian Wilkinson E11230 entity
Predicate memberOfSportsTeam P330 FINISHED
Object Fløya
Fløya is a Norwegian women's football club based in Tromsø that competes in the country's league system.
 E85629 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: Fløya | Statement: [Rhian Wilkinson, memberOfSportsTeam, Fløya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fløya
Context triple: [Rhian Wilkinson, memberOfSportsTeam, Fløya]
  • A. Stetind
    Stetind is a distinctive, obelisk-shaped granite mountain in Nordland, Norway, often called Norway’s national mountain and renowned among climbers and photographers.
  • 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. Finnøy
    Finnøy is a small island municipality in Rogaland county, Norway, known as the rural birthplace of mathematician Niels Henrik Abel.
  • D. Hinnøya
    Hinnøya is the largest island in mainland Norway, known for its dramatic fjords, mountains, and coastal landscapes in the north of the country.
  • E. Karmøy
    Karmøy is a large island and municipality in Rogaland county, Norway, known for its coastal fishing communities, maritime heritage, and historic Viking sites.
  • 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: Fløya
Triple: [Rhian Wilkinson, memberOfSportsTeam, Fløya]
Generated description
Fløya is a Norwegian women's football club based in Tromsø that competes in the country's league system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fløya
Target entity description: Fløya is a Norwegian women's football club based in Tromsø that competes in the country's league system.
  • A. Stetind
    Stetind is a distinctive, obelisk-shaped granite mountain in Nordland, Norway, often called Norway’s national mountain and renowned among climbers and photographers.
  • 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. Finnøy
    Finnøy is a small island municipality in Rogaland county, Norway, known as the rural birthplace of mathematician Niels Henrik Abel.
  • D. Hinnøya
    Hinnøya is the largest island in mainland Norway, known for its dramatic fjords, mountains, and coastal landscapes in the north of the country.
  • E. Karmøy
    Karmøy is a large island and municipality in Rogaland county, Norway, known for its coastal fishing communities, maritime heritage, and historic Viking sites.
  • 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_69a493266a2881909daf4c40f719dee8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f19f9a08190b0bf6e19b32427ff completed March 1, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dc93fd28819088ece7790ff19270 completed March 2, 2026, 6:53 p.m.
NEDg Description generation batch_69a5debae16081909f167598cb20dbf6 completed March 2, 2026, 7:02 p.m.
NED2 Entity disambiguation (via description) batch_69a5fe46b8f48190b6a7e96fcac30d9f completed March 2, 2026, 9:16 p.m.
Created at: March 1, 2026, 7:36 p.m.