Triple

T16515302
Position Surface form Disambiguated ID Type / Status
Subject Hopeful Stakes E401166 entity
Predicate hasWeightCondition P70576 FINISHED
Object assigned weight with allowances 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: assigned weight with allowances | Statement: [Hopeful Stakes, hasWeightCondition, assigned weight with allowances]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasWeightCondition
Context triple: [Hopeful Stakes, hasWeightCondition, assigned weight with allowances]
  • A. hasMinimumWeight
    Indicates that an entity’s weight meets or exceeds a specified minimum threshold.
  • B. requiresWeighIn
    Indicates that one entity must provide an opinion, decision, or input before another entity’s action or process can proceed.
  • C. isHeavierThan
    Indicates that one entity has greater weight or mass than another entity.
  • D. وزن chosen
    Indicates a relationship where one entity has, measures, or is characterized by a certain weight or mass.
  • E. weightIssue
    Indicates that there is a problem, concern, or abnormal condition related to the weight of an 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e7bbfa481909037148cdb4d8996 completed April 18, 2026, 7:10 a.m.
PD Predicate disambiguation batch_69e296995d388190b88ebe189dce890d completed April 17, 2026, 8:22 p.m.
Created at: April 10, 2026, 5:14 a.m.