Triple

T15678131
Position Surface form Disambiguated ID Type / Status
Subject JYP Jyväskylä E377498 entity
Predicate formerName P65 FINISHED
Object Jyväskylän Pallo E377498 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: Jyväskylän Pallo | Statement: [JYP Jyväskylä, formerName, Jyväskylän Pallo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jyväskylän Pallo
Context triple: [JYP Jyväskylä, formerName, Jyväskylän Pallo]
  • A. Jyväskylän maalaiskunta
    Jyväskylän maalaiskunta was a former rural municipality in Central Finland that surrounded the city of Jyväskylä before being consolidated into it.
  • B. JYP Jyväskylä chosen
    JYP Jyväskylä is a professional Finnish ice hockey club based in Jyväskylä that competes in the country’s top-tier Liiga.
  • C. Imatran Pallo-Veikot
    Imatran Pallo-Veikot is a Finnish sports club best known for its football activities, based in the town of Imatra.
  • D. Kuopion Palloseura
    Kuopion Palloseura is a Finnish professional football club based in the city of Kuopio, known for competing in the country’s top-tier league.
  • E. Vaasan Palloseura
    Vaasan Palloseura is a Finnish professional football club based in the city of Vaasa.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f2f1640819086efd5a73bb9734a completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ee0446881909e9c2504d51d49a3 completed May 9, 2026, 5:29 p.m.
Created at: April 10, 2026, 4:16 a.m.