Triple
T6167214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Extended Repayment Plan |
E137597
|
entity |
| Predicate | hasPaymentStructure |
P25081
|
FINISHED |
| Object | fixed payments |
—
|
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: fixed payments | Statement: [Extended Repayment Plan, hasPaymentStructure, fixed payments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPaymentStructure Context triple: [Extended Repayment Plan, hasPaymentStructure, fixed payments]
-
A.
paymentStructure
chosen
Indicates how payments are organized, scheduled, and divided between the involved parties.
-
B.
hasPaymentModel
Indicates that an entity uses, is associated with, or operates under a particular payment model or pricing scheme.
-
C.
hasPaymentOption
Indicates that an entity supports or offers a particular method or option for making payments.
-
D.
hasPayStatus
Indicates the current payment state or condition associated with an entity, such as whether an amount is paid, unpaid, pending, or otherwise resolved.
-
E.
hasAdvancePaymentOption
Indicates that an entity offers the possibility to pay, in full or in part, before the corresponding goods or services are delivered or consumed.
- 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_69c008a68c508190a8d78245c865960e |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d647ae48190a1db07b4f4a06e67 |
completed | March 22, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69c055f5b81481908819515cdc334ae6 |
completed | March 22, 2026, 8:49 p.m. |
Created at: March 22, 2026, 4:17 p.m.