Triple

T12279128
Position Surface form Disambiguated ID Type / Status
Subject Scoonie Golf Course E292668 entity
Predicate hasGreenFeePolicy P25908 FINISHED
Object pay and play 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: pay and play | Statement: [Scoonie Golf Course, hasGreenFeePolicy, pay and play]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasGreenFeePolicy
Context triple: [Scoonie Golf Course, hasGreenFeePolicy, pay and play]
  • A. greenFeeLevel
    Indicates the pricing tier or cost level associated with a green fee for using a golf course.
  • B. feePolicy chosen
    Indicates the rules or conditions that determine how fees are calculated, applied, or charged in a given context.
  • C. hasCharge
    Indicates that an entity possesses a specific electrical or formal charge, such as positive, negative, or neutral.
  • D. hasReservationPolicy
    Indicates that an entity specifies or is governed by a particular policy regarding how reservations are made, managed, or honored.
  • E. hasCost
    Indicates that one entity requires a specified amount of resources (such as money, time, or effort) to be obtained, used, or maintained by 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d9261e1570819084bb4fdb44aa6aea completed April 10, 2026, 4:32 p.m.
PD Predicate disambiguation batch_69d91c4d9a9c8190aeb7beaf9792d8f0 completed April 10, 2026, 3:50 p.m.
Created at: April 8, 2026, 9:52 p.m.