Triple

T12495124
Position Surface form Disambiguated ID Type / Status
Subject Fredrikstad FK E298663 entity
Predicate hasRival P1375 FINISHED
Object Moss FK E860790 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: Moss FK | Statement: [Fredrikstad FK, hasRival, Moss FK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moss FK
Context triple: [Fredrikstad FK, hasRival, Moss FK]
  • A. Moss FK chosen
    Moss FK is a Norwegian football club based in the town of Moss, known for competing in the national league system and representing the local community in association football.
  • B. Viking FK
    Viking FK is a Norwegian professional football club based in Stavanger that competes in the country’s top division, the Eliteserien.
  • C. Lommel SK
    Lommel SK is a Belgian professional football club that competes in the country’s league system and serves as part of City Football Group’s global network of teams.
  • D. Aalesunds FK
    Aalesunds FK is a Norwegian professional football club from Ålesund, best known for competing in the Eliteserien and for its intense local rivalry with Molde FK.
  • E. 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.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94de4089c8190917a45365e641437 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64badad488190ae1c6c2883a88a4b completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.