Triple

T15473467
Position Surface form Disambiguated ID Type / Status
Subject Arkowcy E376722 entity
Predicate supporterOf P18809 FINISHED
Object Arka Gdynia first team E77253 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: Arka Gdynia first team | Statement: [Arkowcy, supporterOf, Arka Gdynia first team]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arka Gdynia first team
Context triple: [Arkowcy, supporterOf, Arka Gdynia first team]
  • A. Arka Gdynia chosen
    Arka Gdynia is a Polish professional football club based in the port city of Gdynia, known for competing in the country’s top leagues and domestic cup competitions.
  • B. Asseco Gdynia
    Asseco Gdynia is a Polish professional basketball club based in Gdynia, known for its success in domestic competitions and participation in European tournaments.
  • C. GKS Tychy
    GKS Tychy is a Polish multi-sports club best known for its professional football and ice hockey teams based in the city of Tychy.
  • D. Gryf Słupsk football club
    Gryf Słupsk football club is a Polish association football team based in the city of Słupsk, competing in the lower tiers of the national league system and representing the region in domestic competitions.
  • E. PKT Gdynia
    PKT Gdynia is a public transport company in Gdynia, Poland, primarily known for running the city’s trolleybus network.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f6c57308190b4cfe661c26addd4 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d075e64819097061ef4c205577e completed May 9, 2026, 12:48 p.m.
Created at: April 10, 2026, 3:33 a.m.