Triple

T35953223
Position Surface form Disambiguated ID Type / Status
Subject Resolution Funding Corporation E1039784 entity
Predicate hasLiabilitiesType P75181 FINISHED
Object long-term bonds 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: long-term bonds | Statement: [Resolution Funding Corporation, hasLiabilitiesType, long-term bonds]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLiabilitiesType
Context triple: [Resolution Funding Corporation, hasLiabilitiesType, long-term bonds]
  • A. liabilityType chosen
    Indicates the specific category or nature of liability associated with an entity, obligation, or financial exposure.
  • B. hasMainCreditorType
    Indicates the primary category or type of creditor that holds the main claim or financial interest in relation to an entity.
  • C. liabilitiesAtBankruptcy
    Indicates the total obligations or debts an entity has outstanding at the time it is declared bankrupt.
  • D. hasOngoingObligations
    Indicates that an entity is currently bound by duties or responsibilities that are still in effect and not yet fulfilled or terminated.
  • E. hasTypeOfCredit
    Indicates that an entity is associated with or characterized by a specific type or category of credit.
  • 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_69f76e25ea488190b7cee970b3e70382 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fec5c503808190bde0b1829ea43071 completed May 9, 2026, 5:27 a.m.
PD Predicate disambiguation batch_69fec535dd6c8190a6ab85201f5a04a9 completed May 9, 2026, 5:25 a.m.
Created at: May 3, 2026, 4:07 p.m.