Triple

T32535807
Position Surface form Disambiguated ID Type / Status
Subject Charleston Open E831584 entity
Predicate surfaceUniqueness P163991 FINISHED
Object one of the few WTA events played on green clay 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: one of the few WTA events played on green clay | Statement: [Charleston Open, surfaceUniqueness, one of the few WTA events played on green clay]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: surfaceUniqueness
Context triple: [Charleston Open, surfaceUniqueness, one of the few WTA events played on green clay]
  • A. surfaceFeatureOf
    Indicates that one entity is a surface-level characteristic, pattern, or feature belonging to or present on another entity.
  • B. surfaceFeatureKnowledge
    Indicates that an entity possesses information or awareness about the characteristics or properties of a surface.
  • C. typeOfUniqueness
    Indicates that one entity’s uniqueness is characterized, classified, or constrained by the specific kind or mode of uniqueness associated with another entity.
  • D. surfaceQuality
    Indicates the condition or characteristics of an entity’s outer surface, such as its smoothness, roughness, or finish.
  • E. uniqueAspect chosen
    Indicates that the subject possesses a distinctive feature or characteristic that sets it apart from others.
  • 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_69f34924b1cc8190ad3aca0c0f012a7e completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6cd126fcc8190aa1f1f146e45ec0c completed May 3, 2026, 4:20 a.m.
PD Predicate disambiguation batch_69f6cc1470808190b70cdfd7a6395670 completed May 3, 2026, 4:16 a.m.
Created at: May 1, 2026, 1:01 a.m.