Triple
T20646576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verity |
E507369
|
entity |
| Predicate | hasLoanDuration |
P10122
|
FINISHED |
| Object | 20 years |
—
|
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: 20 years | Statement: [Verity, hasLoanDuration, 20 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLoanDuration Context triple: [Verity, hasLoanDuration, 20 years]
-
A.
timeHorizonOfLoans
chosen
Indicates the length of time over which loans are scheduled to be outstanding or repaid.
-
B.
hasLongerRepaymentTermThan
Indicates that the repayment term of one entity (e.g., a loan or debt) is longer in duration than the repayment term of another entity.
-
C.
paymentPeriodLength
Indicates the duration or length of time that each payment period covers in a recurring payment or billing schedule.
-
D.
agingPeriod
Indicates the length of time something is allowed or intended to mature or age before reaching its final or usable state.
-
E.
maturityDuration
Indicates the length of time required for something to reach its full development, readiness, or maturity.
- 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af1eee9c81908fd3b4fe8c4529c8 |
completed | April 20, 2026, 10:56 p.m. |
| PD | Predicate disambiguation | batch_69e5c0315f5081908098707c6455e56e |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 11:43 a.m.