Triple

T9674494
Position Surface form Disambiguated ID Type / Status
Subject Rural Education Achievement Program E234112 entity
Predicate addressesChallenge P89561 FINISHED
Object geographic isolation of rural schools 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: geographic isolation of rural schools | Statement: [Rural Education Achievement Program, addressesChallenge, geographic isolation of rural schools]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: addressesChallenge
Context triple: [Rural Education Achievement Program, addressesChallenge, geographic isolation of rural schools]
  • A. addresses
    Indicates that one entity directs speech, communication, or written correspondence specifically toward another entity.
  • B. addressesQuestion
    Indicates that one entity responds to, resolves, or directly engages with a question posed by another entity.
  • C. addressesPosition
    Indicates that one entity communicates with, responds to, or deals with the role, status, or job position held by another entity.
  • D. addressing
    Indicates that one entity is directing speech, communication, or attention specifically toward another entity.
  • E. address
    Indicates that one entity directs spoken or written communication specifically to another entity.
  • 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_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.
PDg Predicate description generation batch_69ccd9408c848190b84dd74d87f76273 completed April 1, 2026, 8:37 a.m.
Created at: March 30, 2026, 8:15 p.m.