Triple

T17839676
Position Surface form Disambiguated ID Type / Status
Subject King's Stand Stakes E445488 entity
Predicate hasSexRestriction P15554 FINISHED
Object no, open to colts, geldings and fillies 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: no, open to colts, geldings and fillies | Statement: [King's Stand Stakes, hasSexRestriction, no, open to colts, geldings and fillies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSexRestriction
Context triple: [King's Stand Stakes, hasSexRestriction, no, open to colts, geldings and fillies]
  • A. hasGenderRequirement chosen
    Indicates that a particular role, activity, or context specifies a required or restricted gender for participation or eligibility.
  • B. hasSexStatus
    Indicates that one entity has a particular sexual status or condition in relation to another entity or context.
  • C. requiresCelibacyFor
    Indicates that one entity imposes a requirement of celibacy on another entity as a condition for participation, membership, role, or status.
  • D. demographicRestriction
    Indicates that participation, access, or applicability is limited or conditioned based on specific demographic characteristics (such as age, gender, ethnicity, or similar attributes).
  • E. hasSex
    Indicates that one entity engages in sexual activity with 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48d2a570c81909787296bde7e795c completed April 19, 2026, 8:07 a.m.
PD Predicate disambiguation batch_69e3d8e266888190ae976b4b7d5b886f completed April 18, 2026, 7:17 p.m.
Created at: April 10, 2026, 10:16 a.m.