Triple

T27916333
Position Surface form Disambiguated ID Type / Status
Subject 2008–09 KHL season E706083 entity
Predicate regulationWinPoints P24875 FINISHED
Object 3 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: 3 | Statement: [2008–09 KHL season, regulationWinPoints, 3]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regulationWinPoints
Context triple: [2008–09 KHL season, regulationWinPoints, 3]
  • A. pointsForRegulationLoss
    Indicates the number of points awarded to a team or player specifically for losing a game in regulation time.
  • B. pointsForWin chosen
    Indicates the number of points awarded to an entity for achieving a win in a given context or competition.
  • C. winnerPoints
    Indicates the number of points earned by the winning participant or entity in a competition or event.
  • D. pointsAwarded
    Indicates that a specified number of points has been granted to an entity as a result of some action or event.
  • E. regulatingRules
    Indicates that one entity establishes or enforces rules or standards that govern or control the behavior, operation, or conditions of another entity.
  • 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_69ef96b6cc808190aab19fb18b235f4b completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f7465687bc8190a9da44d62b634ed7 completed May 3, 2026, 12:57 p.m.
PD Predicate disambiguation batch_69f743f4ceb08190a21fe7f4a99b166b completed May 3, 2026, 12:47 p.m.
Created at: April 27, 2026, 6:53 p.m.