Triple

T12252365
Position Surface form Disambiguated ID Type / Status
Subject Liga 1 E292003 entity
Predicate hasClubParticipants P67577 FINISHED
Object Persebaya Surabaya E60591 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: Persebaya Surabaya | Statement: [Liga 1, hasClubParticipants, Persebaya Surabaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Persebaya Surabaya
Context triple: [Liga 1, hasClubParticipants, Persebaya Surabaya]
  • A. Persebaya Surabaya chosen
    Persebaya Surabaya is a prominent Indonesian professional football club based in Surabaya, East Java, known for its passionate fan base and success in domestic competitions.
  • B. Arema FC
    Arema FC is a professional Indonesian football club based in Malang, East Java, known for its passionate fanbase and fierce derbies against Persebaya Surabaya.
  • C. Persija Jakarta
    Persija Jakarta is a prominent professional football club based in Jakarta, Indonesia, known for its large fanbase and historic status in Indonesian football.
  • D. PSIS Semarang
    PSIS Semarang is an Indonesian professional football club based in Semarang, Central Java, known for its passionate fanbase and historic presence in the national league system.
  • E. Arema
    Arema is a French company that manages and operates major sports and events venues, including Marseille’s Stade Vélodrome.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93ed7251c8190b94d7cd75ad49b9c completed April 10, 2026, 6:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6346016848190ba864a3d46280c5a completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:52 p.m.