Triple
T10236593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Express Gold Card |
E243479
|
entity |
| Predicate | interestOnPurchases |
P92906
|
FINISHED |
| Object | no preset spending limit as a charge card |
—
|
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: no preset spending limit as a charge card | Statement: [American Express Gold Card, interestOnPurchases, no preset spending limit as a charge card]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interestOnPurchases Context triple: [American Express Gold Card, interestOnPurchases, no preset spending limit as a charge card]
-
A.
interestCharged
Indicates that a specified amount of interest is imposed on a principal or outstanding balance over a given period.
-
B.
interestType
Indicates the specific category or nature of interest that one entity has in relation to another or to a subject.
-
C.
interestRateName
Indicates the specific label or designation used to identify a particular interest rate.
-
D.
effectOnTotalInterest
Indicates how a given factor or action changes the overall amount of interest accrued or owed.
-
E.
creditPercentage
Indicates the proportion or share of credit assigned to an entity in relation to a particular outcome, contribution, or transaction.
- F. None of above. chosen
Provenance (4 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d23b620c8190b8a72d0eb0d16b93 |
completed | April 7, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_69d4d1e9798c8190b437d53d48554ba1 |
completed | April 7, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69d4d23a9c4c8190abece9e52879c479 |
completed | April 7, 2026, 9:45 a.m. |
Created at: April 6, 2026, 11:22 a.m.