Triple
T13249005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ladywell railway station |
E315477
|
entity |
| Predicate | hasSmartcardValidators |
P108754
|
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: [Ladywell railway station, hasSmartcardValidators, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSmartcardValidators Context triple: [Ladywell railway station, hasSmartcardValidators, yes]
-
A.
supportsSmartcards
Indicates that one entity provides compatibility with or the ability to use smartcard-based functionality for another entity.
-
B.
hasPCI
Indicates that an entity is equipped with, supports, or is associated with a PCI (Peripheral Component Interconnect) interface or capability.
-
C.
hasSecurityTerminal
Indicates that an entity is equipped with or contains a security terminal used for access control, monitoring, or security-related operations.
-
D.
compatibleICCardBrand
Indicates that one entity (such as a device or system) supports and can properly operate with IC cards of the specified brand.
-
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. chosen
Provenance (4 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d9e7ea881908abc4b3a54896692 |
completed | April 10, 2026, 11:54 p.m. |
| PD | Predicate disambiguation | batch_69d98bcca7d88190a3e68e99ed3a29e6 |
completed | April 10, 2026, 11:46 p.m. |
| PDg | Predicate description generation | batch_69d98c959ba08190adf29dc0c4e1fca6 |
completed | April 10, 2026, 11:49 p.m. |
Created at: April 9, 2026, 9:24 p.m.