Triple

T15030552
Position Surface form Disambiguated ID Type / Status
Subject Victim Compensation Formula Grants E378330 entity
Predicate costSharing P116450 FINISHED
Object state matching or maintenance-of-effort requirements 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: state matching or maintenance-of-effort requirements | Statement: [Victim Compensation Formula Grants, costSharing, state matching or maintenance-of-effort requirements]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: costSharing
Context triple: [Victim Compensation Formula Grants, costSharing, state matching or maintenance-of-effort requirements]
  • A. coversCosts
    Indicates that one party assumes responsibility for paying or reimbursing the expenses incurred by another party.
  • B. costToUser
    Indicates the amount of cost or expense that is borne by, charged to, or incurred by the user.
  • C. careComponentRates
    Indicates a relationship where specific care components are assigned rating or pricing values that quantify their cost or quality.
  • D. costModel
    Indicates the pricing or cost-structure relationship applied to an entity, defining how its costs are calculated or charged.
  • E. 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.
  • F. None of above. chosen

Provenance (4 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7e2416081908dfba48d7f7b4a84 completed April 15, 2026, 12:12 a.m.
PD Predicate disambiguation batch_69de9a67cbc481909c19c2de57de4eb7 completed April 14, 2026, 7:50 p.m.
PDg Predicate description generation batch_69deb1a88d588190996afa8e5b32b552 completed April 14, 2026, 9:29 p.m.
Created at: April 10, 2026, 2:59 a.m.