Triple

T15516752
Position Surface form Disambiguated ID Type / Status
Subject NCAA beach volleyball E368852 entity
Predicate tiebreakSetScoring P48244 FINISHED
Object third set to 15 points LITERAL 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: third set to 15 points | Statement: [NCAA beach volleyball, tiebreakSetScoring, third set to 15 points]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: tiebreakSetScoring
Context triple: [NCAA beach volleyball, tiebreakSetScoring, third set to 15 points]
  • A. tiebreaker
    Indicates that one entity serves as the deciding factor used to break a tie between two or more otherwise equal options or outcomes.
  • B. tiebreakerGameLoser
    Indicates the player or team that lost a specific tiebreaker game used to resolve a tie in a competition or match.
  • C. scoringType chosen
    Indicates the method or criteria by which performance, outcomes, or results are evaluated and assigned a score in a given context.
  • D. fairPlayTiebreakerAffectedTeams
    Indicates that the teams involved were impacted by a tiebreaker decision based on fair play criteria (such as disciplinary records).
  • E. tieInnings
    Indicates that two or more teams or players have finished an innings with the same score, resulting in no winner for that innings.
  • F. None of above.

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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04033303c8190a87b6384f68a6921 completed April 16, 2026, 1:49 a.m.
PD Predicate disambiguation batch_69ded2896a9c8190a8b9627deb3c17b4 completed April 14, 2026, 11:49 p.m.
Created at: April 10, 2026, 4:02 a.m.