Triple

T6117745
Position Surface form Disambiguated ID Type / Status
Subject NCAA Division I cross country E136402 entity
Predicate typicalScoringRunnersPerTeam P27342 FINISHED
Object 5 scoring runners 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: 5 scoring runners | Statement: [NCAA Division I cross country, typicalScoringRunnersPerTeam, 5 scoring runners]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalScoringRunnersPerTeam
Context triple: [NCAA Division I cross country, typicalScoringRunnersPerTeam, 5 scoring runners]
  • A. maximumScoringRunnersPerTeam
    Indicates the maximum number of runners on a team who can be counted or considered based on their scoring performance.
  • B. scoringRunnersCount
    Indicates the number of runners who successfully score (e.g., reach home plate or equivalent scoring position) as a result of a particular play or action.
  • C. typicalNumberOfAthletes chosen
    Indicates the usual or average number of athletes associated with or participating in a given context, event, or entity.
  • D. usesNumberOfPlayersOnFieldPerTeam
    Indicates that the relationship specifies or depends on how many players each team has on the field at a given time.
  • E. typicalNumberOfTopDivisionTeams
    Indicates the usual or standard number of teams that compete in the highest-level division of a league or competition.
  • 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_69c0089f851c81909e5e189a617dcff6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05bec9b8c8190b3268b0ba952aae6 completed March 22, 2026, 9:15 p.m.
PD Predicate disambiguation batch_69c049f9ab3c81909c8ab6466f6a2935 completed March 22, 2026, 7:58 p.m.
Created at: March 22, 2026, 4:14 p.m.