Triple

T12173906
Position Surface form Disambiguated ID Type / Status
Subject Atiba Hutchinson E290040 entity
Predicate memberOfSportsTeam P330 FINISHED
Object Östers IF E361246 NE FINISHED

How this triple was built (2 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: Östers IF | Statement: [Atiba Hutchinson, memberOfSportsTeam, Östers IF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Östers IF
Context triple: [Atiba Hutchinson, memberOfSportsTeam, Östers IF]
  • A. Östers IF chosen
    Östers IF is a Swedish football club based in Växjö, known for its history in the country’s top divisions and domestic successes.
  • B. IFK Östersund
    IFK Östersund is a Swedish football club from Östersund, known locally for its traditional status and rivalry with Östersunds FK.
  • C. IFK Eskilstuna
    IFK Eskilstuna is a Swedish football club based in Eskilstuna, known for its long history and participation in the national league system.
  • D. Östersunds FK
    Östersunds FK is a Swedish professional football club known for its rapid rise through the leagues and notable performances in domestic and European competitions.
  • E. IFK Lidingö
    IFK Lidingö is a Swedish multi-sport club based on the island of Lidingö, best known for its activities in athletics, orienteering, and football.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915dab42881908e2580c631d4d1cf completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a88b8748190a6c95e143f370010 completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:50 p.m.