Triple

T32852995
Position Surface form Disambiguated ID Type / Status
Subject Ontario Junior A Lacrosse League E840302 entity
Predicate hasPlayerStatus P13375 FINISHED
Object amateur 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: amateur | Statement: [Ontario Junior A Lacrosse League, hasPlayerStatus, amateur]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPlayerStatus
Context triple: [Ontario Junior A Lacrosse League, hasPlayerStatus, amateur]
  • A. playerStatus chosen
    Indicates the current state or condition of a player within a game or system, such as their activity, health, or participation status.
  • B. hasPlayer
    Indicates that an entity (such as a team, game, or roster) includes or is associated with a specific player.
  • C. hasPlayerCount
    Indicates the number of players associated with or participating in a given entity or activity.
  • D. inGameStatus
    Indicates the current state or condition of an entity within the context of a game (e.g., active, paused, eliminated).
  • E. hasPlayerColor
    Indicates that an entity (such as a player or game piece) is associated with a specific color used to represent it.
  • 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_69f349412c78819084459850e11d29f7 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fcef654d588190b29ecc76678d1aa0 completed May 7, 2026, 8 p.m.
PD Predicate disambiguation batch_69fcecdb97f48190b382b7d13be92dc0 completed May 7, 2026, 7:49 p.m.
Created at: May 1, 2026, 1:17 a.m.