Triple
T12614259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | accepts PASMO |
E301210
|
entity |
| Predicate | hasPaymentType |
P46101
|
FINISHED |
| Object | transportation fare payment |
—
|
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: transportation fare payment | Statement: [accepts PASMO, hasPaymentType, transportation fare payment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPaymentType Context triple: [accepts PASMO, hasPaymentType, transportation fare payment]
-
A.
hasPaymentOption
chosen
Indicates that an entity supports or offers a particular method or option for making payments.
-
B.
hasPaymentModel
Indicates that an entity uses, is associated with, or operates under a particular payment model or pricing scheme.
-
C.
payType
Indicates the method or category of payment used in a transaction or compensation arrangement.
-
D.
paymentNetworkType
Indicates the type or category of payment network through which a payment is processed or routed.
-
E.
hasMatchCardType
Indicates that two or more items share the same card type or that an item is associated with a specific matching card type.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69d960b195108190ac25bd95e644ace4 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:12 p.m.