Triple

T23513742
Position Surface form Disambiguated ID Type / Status
Subject Direct Unsubsidized Loan E572500 entity
Predicate hasAggregateLoanLimit P25545 FINISHED
Object yes 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: yes | Statement: [Direct Unsubsidized Loan, hasAggregateLoanLimit, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAggregateLoanLimit
Context triple: [Direct Unsubsidized Loan, hasAggregateLoanLimit, yes]
  • A. hasMaximumBalanceLimit
    Indicates that there is an upper bound on the balance that an account or entity is allowed to hold.
  • B. loanLimitType chosen
    Indicates the category or rule that defines how a loan’s maximum allowable amount or terms are limited.
  • C. isLimitOf
    Indicates that one quantity, function, or sequence approaches a particular value as its input or index approaches some specified point or condition.
  • D. guaranteeLimitBasis
    Indicates the basis or criteria used to determine the limit of a guarantee in a contractual or financial context.
  • E. monetaryLimit
    Indicates a constraint or maximum allowable amount of money associated with an action, transaction, or relationship.
  • 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_69e245b5e4208190bac8a6509867e394 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1aa80174c819088c9c19fdcf2a133 completed April 29, 2026, 6:51 a.m.
PD Predicate disambiguation batch_69f0621165c08190a0b27b1319733959 completed April 28, 2026, 7:30 a.m.
Created at: April 17, 2026, 6:08 p.m.