Triple

T24902500
Position Surface form Disambiguated ID Type / Status
Subject Grand Prix tennis circuit E623617 entity
Predicate playerIncentive P26096 FINISHED
Object bonus pool based on points standings 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: bonus pool based on points standings | Statement: [Grand Prix tennis circuit, playerIncentive, bonus pool based on points standings]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: playerIncentive
Context triple: [Grand Prix tennis circuit, playerIncentive, bonus pool based on points standings]
  • A. ownerIncentive
    Indicates that an owner has a motivation, benefit, or reward associated with a particular entity, action, or outcome.
  • B. qualificationIncentive
    Indicates that an incentive or benefit is provided contingent upon obtaining or holding a particular qualification.
  • C. payingPlayers
    Indicates that one or more entities are making a payment to one or more players, typically as compensation, fees, or rewards.
  • D. typeOfIncentive
    Indicates the specific kind or category of incentive associated with an entity or action.
  • E. isPlayerAward chosen
    Indicates that an award is designated specifically for a player, representing a recognition or honor given to an individual participant.
  • 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_69e2fac797cc8190b30d77f4121099ac completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f55e519978819087a1676564a74630 completed May 2, 2026, 2:15 a.m.
PD Predicate disambiguation batch_69f4a0edd10c81908a052ab864d57c54 completed May 1, 2026, 12:47 p.m.
Created at: April 18, 2026, 5:27 a.m.