Triple

T24734185
Position Surface form Disambiguated ID Type / Status
Subject Farmer Mac E618366 entity
Predicate hasGuaranteeType P77116 FINISHED
Object timely payment guarantees on eligible securities 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: timely payment guarantees on eligible securities | Statement: [Farmer Mac, hasGuaranteeType, timely payment guarantees on eligible securities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasGuaranteeType
Context triple: [Farmer Mac, hasGuaranteeType, timely payment guarantees on eligible securities]
  • A. typeOfGuarantees chosen
    Indicates the specific kind or category of guarantees that one entity provides, holds, or is associated with in relation to another.
  • B. guaranteeStatus
    Indicates the current state or condition of a guarantee associated with an entity or agreement.
  • C. guaranteeCoverage
    Indicates that one party commits to providing financial or protective coverage for another party or specified situation.
  • D. seeksGuaranteesFor
    Indicates that one entity actively pursues or requests assurances, protections, or commitments from another entity regarding a specific matter or outcome.
  • E. mayGuarantee
    Indicates that one entity has the potential or authority to provide a guarantee for another entity or outcome.
  • 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_69e2fab772608190b74163751047ff50 completed April 18, 2026, 3:29 a.m.
NER Named-entity recognition batch_69f410fe3b848190ae296a29f742ee30 completed May 1, 2026, 2:33 a.m.
PD Predicate disambiguation batch_69f40ee8ada8819089a7016b50308ff0 completed May 1, 2026, 2:24 a.m.
Created at: April 18, 2026, 4:03 a.m.