Triple

T9674602
Position Surface form Disambiguated ID Type / Status
Subject School Improvement Grants E234115 entity
Predicate subgrantee P63510 FINISHED
Object local educational agencies — 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: local educational agencies | Statement: [School Improvement Grants, subgrantee, local educational agencies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: subgrantee
Context triple: [School Improvement Grants, subgrantee, local educational agencies]
  • A. subordinateTo
    Indicates that one entity holds a lower rank, status, or authority and is subject to the control, direction, or oversight of another entity.
  • B. fundsCanBeSubgrantedTo chosen
    Indicates that funds received by one party are permitted to be passed on or reallocated as grants to another party.
  • C. subsidiaryOrAsset
    Indicates that one entity is owned, controlled, or held as a subsidiary company or asset by another entity.
  • D. subunitOf
    Indicates that one entity functions as a component or smaller part within the structure or organization of another, larger entity.
  • E. subsidiaryUnit
    Indicates that one organizational unit functions as a subordinate or dependent division of another, higher-level unit.
  • 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.