Triple

T3745632
Position Surface form Disambiguated ID Type / Status
Subject B.League E81202 entity
Predicate hasRelegationTo P9667 FINISHED
Object B2 League E384317 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: B2 League | Statement: [B.League, hasRelegationTo, B2 League]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: B2 League
Context triple: [B.League, hasRelegationTo, B2 League]
  • A. B2 League chosen
    The B2 League is the second-tier professional basketball league in Japan, sitting just below the top-level B.League.
  • B. B3 League
    The B3 League is a professional Japanese basketball league that functions as the third tier beneath the top-level B.League divisions.
  • C. B.League
    B.League is Japan’s professional men’s basketball league, featuring top-tier teams from across the country.
  • D. LNB Pro A
    LNB Pro A is the top-tier professional men's basketball league in France.
  • E. Israeli Basketball Premier League
    The Israeli Basketball Premier League is the top-tier professional basketball league in Israel, featuring the country’s leading clubs and serving as a prominent competition in European basketball.
  • 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_69ad8b19b7b08190a6188804e99c53e9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb680ddc819094205beb342699f9 completed March 8, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f02d1ec88190b99140cee0f14eed completed March 14, 2026, 5:20 a.m.
Created at: March 8, 2026, 3:35 p.m.