Triple

T5323968
Position Surface form Disambiguated ID Type / Status
Subject National School Lunch Program E121741 entity
Predicate beneficiaryCount P7910 FINISHED
Object millions of children per day 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: millions of children per day | Statement: [National School Lunch Program, beneficiaryCount, millions of children per day]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: beneficiaryCount
Context triple: [National School Lunch Program, beneficiaryCount, millions of children per day]
  • A. beneficiaries chosen
    Indicates that certain entities receive advantages, profits, or positive outcomes from an action, event, or arrangement.
  • B. beneficiaryType
    Indicates the type or category of beneficiary that receives or is intended to receive the benefit or outcome of an action or resource.
  • C. beneficiaryRequirement
    Indicates that one entity has a requirement specifying who or what must be the beneficiary of a particular action, service, or resource.
  • D. beneficiaryChangeAllowed
    Indicates that changing or updating the designated beneficiary is permitted under the relevant rules or agreement.
  • E. beneficiaryCountry
    Indicates that one country is the recipient or beneficiary of aid, resources, or advantages provided in a given context.
  • 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.