Triple

T19757461
Position Surface form Disambiguated ID Type / Status
Subject Hermann Park Golf Course E474537 entity
Predicate hasElectricCarts P137209 FINISHED
Object yes 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: yes | Statement: [Hermann Park Golf Course, hasElectricCarts, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasElectricCarts
Context triple: [Hermann Park Golf Course, hasElectricCarts, yes]
  • A. hasElectricMotor
    Indicates that an entity is equipped with, contains, or uses an electric motor as part of its operation or structure.
  • B. isElectrically
    Indicates that one entity has an electrical property, connection, or interaction in relation to another entity.
  • C. electrificationCompatibility
    Indicates whether one entity can be effectively and safely powered, charged, or operated using the electrical system, standards, or infrastructure associated with another entity.
  • D. hasElectricCharge
    Indicates that an entity possesses a nonzero electric charge as a physical property.
  • E. notableElectricVariant
    Indicates that one entity is a notable or significant electric-powered version or variant of another entity.
  • F. None of above. chosen

Provenance (4 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6531c42408190b856341a6c6a4101 completed April 20, 2026, 4:23 p.m.
PD Predicate disambiguation batch_69e5305016e08190b9561a96baecb0b8 completed April 19, 2026, 7:43 p.m.
PDg Predicate description generation batch_69e532bbedf081908d801600e2af94a7 completed April 19, 2026, 7:53 p.m.
Created at: April 10, 2026, 1:48 p.m.