Triple

T5324376
Position Surface form Disambiguated ID Type / Status
Subject Special Milk Program E121750 entity
Predicate beneficiaryCost P5902 FINISHED
Object reduced price or free milk depending on state and local policy 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: reduced price or free milk depending on state and local policy | Statement: [Special Milk Program, beneficiaryCost, reduced price or free milk depending on state and local policy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: beneficiaryCost
Context triple: [Special Milk Program, beneficiaryCost, reduced price or free milk depending on state and local policy]
  • A. costToUser chosen
    Indicates the amount of cost or expense that is borne by, charged to, or incurred by the user.
  • B. beneficiaries
    Indicates that certain entities receive advantages, profits, or positive outcomes from an action, event, or arrangement.
  • C. beneficiaryCountry
    Indicates that one country is the recipient or beneficiary of aid, resources, or advantages provided in a given context.
  • D. coversCosts
    Indicates that one party assumes responsibility for paying or reimbursing the expenses incurred by another party.
  • E. beneficiaryType
    Indicates the type or category of beneficiary that receives or is intended to receive the benefit or outcome of an action or resource.
  • 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_69bd463d956c819088105c3db802c017 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd86f20f008190be7b5848af05f2b8 completed March 20, 2026, 5:42 p.m.
PD Predicate disambiguation batch_69bd84561c7081909e5937c7816e492c completed March 20, 2026, 5:31 p.m.
Created at: March 20, 2026, 1:59 p.m.