Triple
T2952825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MBTA fare gates |
E79859
|
entity |
| Predicate | supportsPaymentMedium |
P15672
|
FINISHED |
| Object | contactless smart 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: contactless smart card | Statement: [MBTA fare gates, supportsPaymentMedium, contactless smart card]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsPaymentMedium Context triple: [MBTA fare gates, supportsPaymentMedium, contactless smart card]
-
A.
supportsTapToPay
chosen
Indicates that an entity enables or is compatible with tap-to-pay (contactless) payment functionality.
-
B.
paymentSystem
Indicates a relationship where one entity functions as a mechanism or platform through which another entity makes or processes payments.
-
C.
paySystem
Indicates that one entity provides monetary or other compensation to another entity through a particular method, platform, or mechanism.
-
D.
paymentMethod
Indicates the means or instrument through which a payment is made in a transaction.
-
E.
paymentEnvironment
Indicates the context or setting in which a payment is initiated, processed, or completed (such as online, in-store, or in-app).
- 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_69ad8b1276588190a374a0b12e0f7bdf |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98fe4b688190a0f68c4f80cd6f8f |
completed | March 8, 2026, 3:42 p.m. |
| PD | Predicate disambiguation | batch_69ad960a70ac8190816b5ae3e8631031 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:57 p.m.