Triple
T38176362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MRT (Singapore) |
E1000223
|
entity |
| Predicate | introducedContactlessPayment |
P15672
|
FINISHED |
| Object | early 2000s |
—
|
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: early 2000s | Statement: [MRT (Singapore), introducedContactlessPayment, early 2000s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedContactlessPayment Context triple: [MRT (Singapore), introducedContactlessPayment, early 2000s]
-
A.
supportsTapToPay
chosen
Indicates that an entity enables or is compatible with tap-to-pay (contactless) payment functionality.
-
B.
supportsCardlessIdentification
Indicates that an entity enables identification or authentication of a person without requiring a physical card.
-
C.
paymentConcealmentMethod
Indicates the method or technique used to hide, disguise, or obscure a payment or its source.
-
D.
hasNFC
Indicates that one entity possesses or supports Near Field Communication (NFC) capability in relation to another entity or context.
-
E.
cardAcceptance
Indicates that one party accepts or recognizes another party’s card as a valid form of payment or identification.
- 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_69f76daaace48190a38cee37f8ce343f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69ff1ba8694481909ceb36f26ca85612 |
completed | May 9, 2026, 11:34 a.m. |
| PD | Predicate disambiguation | batch_69ff1b27f0f08190a9e74308c5b3d1ba |
completed | May 9, 2026, 11:31 a.m. |
Created at: May 3, 2026, 4:29 p.m.