Triple

T22657550
Position Surface form Disambiguated ID Type / Status
Subject Şenol Güneş E559267 entity
Predicate leagueManagedIn P3235 FINISHED
Object K League 1 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 | Statement: [Şenol Güneş, leagueManagedIn, K League 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: K League 1
Context triple: [Şenol Güneş, leagueManagedIn, K League 1]
  • 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 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.
  • C. K League Federation
    The K League Federation is the organizing body responsible for overseeing South Korea’s professional football leagues and their member clubs.
  • D. K4 League
    The K4 League is a lower-tier semi-professional football league in South Korea that forms part of the country’s national league system beneath the top professional divisions.
  • E. K3 League
    The K3 League is a South Korean semi-professional football league that forms part of the country’s lower-tier football pyramid beneath the K League system.
  • 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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1765c62bc8190b3fcde76d6b6dfb6 completed April 29, 2026, 3:09 a.m.
Created at: April 17, 2026, 3:06 p.m.