Triple
T1808133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Microloan Program |
E40267
|
entity |
| Predicate | loanTermMaximumYears |
P10122
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [Microloan Program, loanTermMaximumYears, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: loanTermMaximumYears Context triple: [Microloan Program, loanTermMaximumYears, 6]
-
A.
maximumBondMaturity
Indicates the longest allowable or actual time period until a bond tied to an entity reaches its maturity date.
-
B.
timeHorizonOfLoans
chosen
Indicates the length of time over which loans are scheduled to be outstanding or repaid.
-
C.
loanLimitType
Indicates the category or rule that defines how a loan’s maximum allowable amount or terms are limited.
-
D.
loanType
Indicates the specific category or kind of loan associated with an entity or transaction.
-
E.
maximumConsecutiveTerms
Indicates the greatest number of terms that can occur in an unbroken, continuous sequence within a given context or structure.
- 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_69a88643a3388190a612f2ebe1fb29e7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab694d75ac8190a4d61399c04b9fb9 |
completed | March 6, 2026, 11:54 p.m. |
| PD | Predicate disambiguation | batch_69aa61d6b8ec8190a1597b2e44ea6534 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.