Triple

T24734332
Position Surface form Disambiguated ID Type / Status
Subject Federal Farm Credit System E618369 entity
Predicate hasGuarantee P52798 FINISHED
Object implied government sponsorship but not full faith and credit 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: implied government sponsorship but not full faith and credit | Statement: [Federal Farm Credit System, hasGuarantee, implied government sponsorship but not full faith and credit]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasGuarantee
Context triple: [Federal Farm Credit System, hasGuarantee, implied government sponsorship but not full faith and credit]
  • A. typeOfGuarantees
    Indicates the specific kind or category of guarantees that one entity provides, holds, or is associated with in relation to another.
  • B. guaranteeStatus chosen
    Indicates the current state or condition of a guarantee associated with an entity or agreement.
  • C. mayGuarantee
    Indicates that one entity has the potential or authority to provide a guarantee for another entity or outcome.
  • D. guaranteeCoverage
    Indicates that one party commits to providing financial or protective coverage for another party or specified situation.
  • E. seeksGuaranteesFor
    Indicates that one entity actively pursues or requests assurances, protections, or commitments from another entity regarding a specific matter 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_69f44a417a58819081777e18dda149fd completed May 1, 2026, 6:37 a.m.
PD Predicate disambiguation batch_69f442a977b08190b44eac040cb90211 completed May 1, 2026, 6:05 a.m.
Created at: April 18, 2026, 4:03 a.m.