Triple

T17223231
Position Surface form Disambiguated ID Type / Status
Subject Florø E418042 entity
Predicate hasSportClub P346 FINISHED
Object Florø SK
Florø SK is a Norwegian sports club best known for its football team, based in the coastal town of Florø.
E1257771 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: Florø SK | Statement: [Florø, hasSportClub, Florø SK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Florø SK
Context triple: [Florø, hasSportClub, Florø SK]
  • A. Sandnes HK
    Sandnes HK is a Norwegian handball club based in the city of Sandnes.
  • B. Steinkjer FK
    Steinkjer FK is a Norwegian football club based in the town of Steinkjer, known for competing in the national league system and representing the local community in regional competitions.
  • C. Fredrikstad FK
    Fredrikstad FK is a Norwegian professional football club based in the city of Fredrikstad, known for its historic success in the national league and cup competitions.
  • D. Drøbak-Frogn IL
    Drøbak-Frogn IL is a Norwegian sports club best known for its football program, which helped develop future international star Martin Ødegaard in his youth.
  • E. Sandefjord Fotball
    Sandefjord Fotball is a Norwegian professional football club based in the town of Sandefjord, known for competing in the country’s top divisions.
  • 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: Florø SK
Triple: [Florø, hasSportClub, Florø SK]
Generated description
Florø SK is a Norwegian sports club best known for its football team, based in the coastal town of Florø.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Florø SK
Target entity description: Florø SK is a Norwegian sports club best known for its football team, based in the coastal town of Florø.
  • A. Sandnes HK
    Sandnes HK is a Norwegian handball club based in the city of Sandnes.
  • B. Steinkjer FK
    Steinkjer FK is a Norwegian football club based in the town of Steinkjer, known for competing in the national league system and representing the local community in regional competitions.
  • C. Fredrikstad FK
    Fredrikstad FK is a Norwegian professional football club based in the city of Fredrikstad, known for its historic success in the national league and cup competitions.
  • D. Drøbak-Frogn IL
    Drøbak-Frogn IL is a Norwegian sports club best known for its football program, which helped develop future international star Martin Ødegaard in his youth.
  • E. Sandefjord Fotball
    Sandefjord Fotball is a Norwegian professional football club based in the town of Sandefjord, known for competing in the country’s top divisions.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42ddf2c3c8190b6adceaaefd4ccbf completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0167596ab481909df59ce68c7f640e completed May 11, 2026, 5:21 a.m.
NEDg Description generation batch_6a0169f4d520819095774ce5ee2d2220 completed May 11, 2026, 5:32 a.m.
NED2 Entity disambiguation (via description) batch_6a016a55114881909496549dfb7b6ff1 completed May 11, 2026, 5:34 a.m.
Created at: April 10, 2026, 5:38 a.m.