Triple
T4431501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southwark station |
E95339
|
entity |
| Predicate | hasContactlessPaymentAcceptance |
P15672
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Southwark station, hasContactlessPaymentAcceptance, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasContactlessPaymentAcceptance Context triple: [Southwark station, hasContactlessPaymentAcceptance, yes]
-
A.
supportsTapToPay
chosen
Indicates that an entity enables or is compatible with tap-to-pay (contactless) payment functionality.
-
B.
cardAcceptance
Indicates that one party accepts or recognizes another party’s card as a valid form of payment or identification.
-
C.
hasPaymentOption
Indicates that an entity supports or offers a particular method or option for making payments.
-
D.
hasNFC
Indicates that one entity possesses or supports Near Field Communication (NFC) capability in relation to another entity or context.
-
E.
hasNearbyPass
Indicates that an entity has at least one pass (e.g., transit or access pass) available within a short or locally defined distance from it.
- 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_69b3453c2a0c8190926b574c90766db9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3556b71448190a3fab938853f8b87 |
completed | March 13, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69b34f6078cc8190831b89f404198cc5 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:31 p.m.