Triple

T11897550
Position Surface form Disambiguated ID Type / Status
Subject LOA E283072 entity
Predicate paymentTermsMayInclude P82462 FINISHED
Object cash with acceptance 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: cash with acceptance | Statement: [LOA, paymentTermsMayInclude, cash with acceptance]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: paymentTermsMayInclude
Context triple: [LOA, paymentTermsMayInclude, cash with acceptance]
  • A. conditionForPayment
    Indicates the specific requirement or situation that must be satisfied before a payment is made.
  • B. creditTermFocus
    Indicates that the relationship or context specifically emphasizes or centers on the terms or conditions of credit.
  • C. requiresPaymentOf
    Indicates that one entity obligates another entity to provide a specified payment as a condition or requirement.
  • D. paymentStructure
    Indicates how payments are organized, scheduled, and divided between the involved parties.
  • E. requiresPaymentIn chosen
    Indicates that one entity must be paid in a specified currency or payment medium in order for a related action, service, or obligation to be fulfilled.
  • 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8dd13cc10819089d8d5103e562924 completed April 10, 2026, 11:20 a.m.
PD Predicate disambiguation batch_69d8bb2fca4481909893f3428b0871ac completed April 10, 2026, 8:56 a.m.
Created at: April 8, 2026, 9:44 p.m.