Triple

T20795003
Position Surface form Disambiguated ID Type / Status
Subject EQIP E511887 entity
Predicate administersThrough P86 FINISHED
Object state NRCS offices 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: state NRCS offices | Statement: [EQIP, administersThrough, state NRCS offices]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: administersThrough
Context triple: [EQIP, administersThrough, state NRCS offices]
  • A. administersFrom
    Indicates that an action, service, or process is carried out or managed starting from a particular source, location, or authority.
  • B. administeredAs
    Indicates that one entity is given or applied to another entity as a treatment, dose, or intervention.
  • C. administeredFor
    Indicates that something (typically a treatment, medication, or intervention) is given or applied to an entity for a specific purpose, condition, or intended effect.
  • D. administeredBy chosen
    Indicates that an action, service, or process is carried out, managed, or overseen by a specified agent or authority.
  • E. coAdministersWith
    Indicates that one entity is administered together with another entity, typically at the same time or as part of the same treatment or process.
  • 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_69e0b4cb83948190bd57bec21d78ed53 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2abbcc8819091bb0225a0650ab6 completed April 21, 2026, 12:19 a.m.
PD Predicate disambiguation batch_69e5c0575b1c81908d010223fcd1213e completed April 20, 2026, 5:57 a.m.
Created at: April 16, 2026, 12:39 p.m.