Triple

T6326680
Position Surface form Disambiguated ID Type / Status
Subject Public Assistance programs E141878 entity
Predicate costShare P25541 FINISHED
Object federal cost share typically at least 75 percent 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: federal cost share typically at least 75 percent | Statement: [Public Assistance programs, costShare, federal cost share typically at least 75 percent]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: costShare
Context triple: [Public Assistance programs, costShare, federal cost share typically at least 75 percent]
  • A. costToUser
    Indicates the amount of cost or expense that is borne by, charged to, or incurred by the user.
  • B. coversCosts chosen
    Indicates that one party assumes responsibility for paying or reimbursing the expenses incurred by another party.
  • C. costModel
    Indicates the pricing or cost-structure relationship applied to an entity, defining how its costs are calculated or charged.
  • D. centralCharge
    Indicates that an entity has a specific central charge value, typically quantifying a key parameter in a conformal or related physical or mathematical theory.
  • E. charge
    Indicates that one entity formally accuses another of an offense or imposes a financial cost or obligation on them.
  • 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_69c008d201748190917e69c41ba3f978 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064e833a0819096000b47e776949d completed March 22, 2026, 9:53 p.m.
PD Predicate disambiguation batch_69c060e5efc48190861b8266e5b0cc0c completed March 22, 2026, 9:36 p.m.
Created at: March 22, 2026, 4:29 p.m.