Triple
T9555962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JetBlue Plus Card |
E230539
|
entity |
| Predicate | lateFeeType |
P37869
|
FINISHED |
| Object | late payment fee may apply per cardmember agreement |
—
|
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: late payment fee may apply per cardmember agreement | Statement: [JetBlue Plus Card, lateFeeType, late payment fee may apply per cardmember agreement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lateFeeType Context triple: [JetBlue Plus Card, lateFeeType, late payment fee may apply per cardmember agreement]
-
A.
feeType
chosen
Indicates the specific category or classification of a fee associated with a transaction, service, or obligation.
-
B.
chargeType
Indicates the category or nature of a charge applied in a transaction or interaction between entities (e.g., fee type, billing classification, or legal charge type).
-
C.
fareType
Indicates the category or class of fare (such as standard, discounted, or promotional) that applies to a given trip, ticket, or pricing instance.
-
D.
feeTypeAuthorized
Indicates that a particular type of fee is permitted or approved for use in a given context or relationship.
-
E.
fareCollectionType
Indicates the method or system used to collect fares or payments for a service.
- 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_69ca847d3be8819099c9dad2a7e786f1 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9927209c8190bbb494fc9003bc99 |
completed | April 1, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69ccd594d0ac8190a81bc11a3a538167 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:03 p.m.