Triple

T4034811
Position Surface form Disambiguated ID Type / Status
Subject No Child Left Behind Act E83802 entity
Predicate policyMechanism P1652 FINISHED
Object standards-based education reform 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: standards-based education reform | Statement: [No Child Left Behind Act, policyMechanism, standards-based education reform]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: policyMechanism
Context triple: [No Child Left Behind Act, policyMechanism, standards-based education reform]
  • A. policyTool chosen
    Indicates that an entity is a tool, mechanism, or instrument used to design, implement, or enforce a policy.
  • B. securityMechanism
    Indicates a relationship where one entity serves as a means or method to protect another entity from threats, vulnerabilities, or unauthorized actions.
  • C. policyApproach
    Indicates the strategy, method, or overall course of action adopted in creating, implementing, or managing a policy.
  • D. policyDriver
    Indicates that one entity serves as the motivating cause, rationale, or driving factor behind the creation, adoption, or implementation of a particular policy.
  • E. policyShift
    Indicates a change or adjustment in an existing policy, typically reflecting a new direction, priority, or approach.
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb11d92481909aaebbc250ff45b9 completed March 9, 2026, 4:53 p.m.
PD Predicate disambiguation batch_69aef8fe440c819093a7fa22c4ff3f1a completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:36 p.m.