Triple

T18768958
Position Surface form Disambiguated ID Type / Status
Subject VHL E458962 entity
Predicate usesShootoutRules P95755 FINISHED
Object yes 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: yes | Statement: [VHL, usesShootoutRules, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesShootoutRules
Context triple: [VHL, usesShootoutRules, yes]
  • A. hasShootoutRule chosen
    Indicates that a competition, game, or match is governed by a specific rule or set of rules for resolving ties through a shootout.
  • B. hasShootoutInLeague
    Indicates that a league match involved a shootout (e.g., penalty or tiebreak shootout) as part of its outcome or progression.
  • C. usesAmericanRules
    Indicates that the action, process, or system is conducted according to American rules or standards rather than other rule sets.
  • D. shootoutUsedInRegularSeason
    Indicates that a shootout tiebreaker format was employed during regular-season games.
  • E. playedUnderRulesOf
    Indicates that an activity or game was conducted in accordance with a specified set of rules or regulations.
  • 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_69d8d395dba0819087568404508590cb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e58d867264819098ae35c9feab3bb4 completed April 20, 2026, 2:20 a.m.
PD Predicate disambiguation batch_69e48d0b7b708190877951b6e6cdcbc4 completed April 19, 2026, 8:06 a.m.
Created at: April 10, 2026, 11:52 a.m.