Triple

T6772984
Position Surface form Disambiguated ID Type / Status
Subject Title II E155086 entity
Predicate allowsUseOfFundsFor P7913 FINISHED
Object evidence-based professional development 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: evidence-based professional development | Statement: [Title II, allowsUseOfFundsFor, evidence-based professional development]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: allowsUseOfFundsFor
Context triple: [Title II, allowsUseOfFundsFor, evidence-based professional development]
  • A. usedFund
    Indicates that one entity expended or applied a particular fund or financial resource for some purpose.
  • B. fundingFlexibility
    Indicates the degree to which the terms, timing, or use of provided funds can be adjusted or reallocated without violating the original funding agreement.
  • C. eligibleUses chosen
    Indicates the types of actions, purposes, or contexts in which something is permitted or qualified to be used.
  • D. authorizesFundingFor
    Indicates that one entity grants official approval or permission for financial resources to be provided to another entity or purpose.
  • E. additionalFundingPurpose
    Indicates the specific reason or intended use for which additional funding is sought or allocated beyond the original amount.
  • 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_69c68812ef7c819099369f51febb725c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d24aaf948190a544cc28b7de67c4 completed March 27, 2026, 6:54 p.m.
PD Predicate disambiguation batch_69c6d094105881909c5806eb4afa6306 completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:13 p.m.