Triple

T24903362
Position Surface form Disambiguated ID Type / Status
Subject Newmarket Handicap E623637 entity
Predicate handicapConditions P131448 FINISHED
Object weights allocated by handicapper 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: weights allocated by handicapper | Statement: [Newmarket Handicap, handicapConditions, weights allocated by handicapper]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: handicapConditions
Context triple: [Newmarket Handicap, handicapConditions, weights allocated by handicapper]
  • A. handicapOrConditions chosen
    Indicates that there are specific handicaps, constraints, or special conditions that apply to the related entities or their interaction.
  • B. handicap
    Indicates that one entity imposes or experiences a disadvantage, constraint, or limiting condition in relation to another entity or context.
  • C. ballCondition
    Indicates the specific state or status a ball is in, such as its physical condition, readiness for use, or compliance with required standards.
  • D. handCondition
    Indicates the state or quality of a hand, such as its health, functionality, or any specific condition affecting it.
  • E. preferredConditions
    Indicates the specific circumstances or environmental factors that an entity favors or finds most suitable compared to alternatives.
  • 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_69e2fac797cc8190b30d77f4121099ac completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f43043512481909501a3979cac9947 completed May 1, 2026, 4:46 a.m.
PD Predicate disambiguation batch_69f420fd375c81908ea4a4e60b76ee8f completed May 1, 2026, 3:41 a.m.
Created at: April 18, 2026, 5:27 a.m.