Triple

T9674607
Position Surface form Disambiguated ID Type / Status
Subject School Improvement Grants E234115 entity
Predicate evaluationFinding P45603 FINISHED
Object mixed evidence on overall effectiveness 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: mixed evidence on overall effectiveness | Statement: [School Improvement Grants, evaluationFinding, mixed evidence on overall effectiveness]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: evaluationFinding
Context triple: [School Improvement Grants, evaluationFinding, mixed evidence on overall effectiveness]
  • A. evaluationFunction
    Indicates a relationship where a specific procedure or rule assigns a value or score to an input, typically to assess its quality, utility, or desirability.
  • B. evaluationBasis
    Indicates the criteria, standards, or reference framework used to judge, assess, or measure something in an evaluation process.
  • C. evaluationUse
    Indicates that something is used as a basis, tool, or resource for evaluating or assessing something else.
  • D. evaluationRole
    Indicates the role or capacity in which an entity participates in an evaluation or assessment process.
  • E. assessment chosen
    Indicates an evaluation or judgment made about an entity’s quality, performance, or characteristics.
  • 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_69ca848f55e48190b3f67252571c3d45 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c6d6dd48190a77c486337a58cb6 completed April 1, 2026, 10:30 p.m.
PD Predicate disambiguation batch_69ccd5b5d40c8190850ad7a351445f32 completed April 1, 2026, 8:22 a.m.
Created at: March 30, 2026, 8:15 p.m.