Triple

T23138655
Position Surface form Disambiguated ID Type / Status
Subject K League 1 matches E577394 entity
Predicate seasonalContext P1166 FINISHED
Object K League 1 season NE NERFINISHED

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: K League 1 season | Statement: [K League 1 matches, seasonalContext, K League 1 season]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: K League 1 season
Context triple: [K League 1 matches, seasonalContext, K League 1 season]
  • A. K League 1 chosen
    K League 1 is the top professional football (soccer) division in South Korea, featuring the country’s highest-level clubs in a nationwide league competition.
  • B. K League 1 matches
    K League 1 matches are top-tier South Korean professional football league games featuring the country’s leading clubs.
  • C. K League 2
    K League 2 is the second tier of professional football in South Korea, serving as the division below the K League 1 in the national league system.
  • D. Korean League Cup
    The Korean League Cup was a now-defunct South Korean football competition that featured professional clubs from the K League.
  • E. K League Federation
    The K League Federation is the organizing body responsible for overseeing South Korea’s professional football leagues and their member clubs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245f8e6248190ba3d58e068b4dccb completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e8e23988190814524f63a7efe36 completed April 29, 2026, 4:52 a.m.
Created at: April 17, 2026, 4 p.m.