Triple

T8147550
Position Surface form Disambiguated ID Type / Status
Subject J.League E190251 entity
Predicate secondTier P18090 FINISHED
Object J2 League E648176 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: J2 League | Statement: [J.League, secondTier, J2 League]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: J2 League
Context triple: [J.League, secondTier, J2 League]
  • A. J2 League chosen
    The J2 League is the second division of professional football in Japan, sitting below the top-tier J1 League in the country's league system.
  • B. J3 League
    The J3 League is the third tier of professional football in Japan, sitting below the J1 and J2 Leagues in the national league system.
  • C. J1 League
    The J1 League is Japan's top-tier professional football (soccer) league, featuring the country's strongest clubs in its premier domestic competition.
  • D. V.League 1
    V.League 1 is the top professional football league in Vietnam, featuring the country’s leading clubs and players.
  • E. J.League
    The J.League is Japan's professional football (soccer) league system, featuring the country's top clubs and serving as the premier competition in Japanese domestic football.
  • 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_69ca82be7ba8819087de0147e9292c83 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb447d6b1881908ff3fa25af6b4e80 completed March 31, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffd37b54881908c67d5746f9ef39e completed April 3, 2026, 5:47 p.m.
Created at: March 30, 2026, 5:36 p.m.