Triple

T5549696
Position Surface form Disambiguated ID Type / Status
Subject Siwanoy Country Club E145494 entity
Predicate hasProfessionalStaff P63628 FINISHED
Object PGA professional staff 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: PGA professional staff | Statement: [Siwanoy Country Club, hasProfessionalStaff, PGA professional staff]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasProfessionalStaff
Context triple: [Siwanoy Country Club, hasProfessionalStaff, PGA professional staff]
  • A. hasScientificStaff
    Indicates that an entity employs or is associated with one or more individuals serving in scientific or research-related roles.
  • B. hasProfessionalStatus
    Indicates that an entity holds a particular professional standing, rank, or qualification within a field or occupation.
  • C. hasGeneralStaff chosen
    Indicates that an entity has, is associated with, or is served by a general staff body responsible for overall strategic or administrative functions.
  • D. hasMedicalStaffApprox
    Indicates that an entity is associated with an approximate or estimated number of medical staff.
  • E. hasProfessionalCore
    Indicates that an entity possesses a central set of professional skills, knowledge, or competencies that define its primary professional function or expertise.
  • 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_69c008fb879c81909f5bfa56fadc1d46 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fe2aef481909944bc582c1f67a4 completed March 22, 2026, 4:59 p.m.
PD Predicate disambiguation batch_69c01b0e72f08190bf705d8fe1639401 completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:35 p.m.