Triple
T25420152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Yorkshire Metro zone 3 |
E636957
|
entity |
| Predicate | ticketTypeValid |
P115850
|
FINISHED |
| Object | MCard |
—
|
NE NERFINISHED |
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: MCard | Statement: [West Yorkshire Metro zone 3, ticketTypeValid, MCard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ticketTypeValid Context triple: [West Yorkshire Metro zone 3, ticketTypeValid, MCard]
-
A.
ticketTypeAccepted
chosen
Indicates that a particular type of ticket is valid for use or accepted in a given context or by a given entity.
-
B.
ticketTypeExample
Indicates that an entity serves as an example or illustrative instance of a particular ticket type.
-
C.
ticketTypeStored
Indicates that a particular type of ticket has been recorded and saved in a storage or system.
-
D.
ticketTypeSold
Indicates that a specific type of ticket has been sold in a given transaction or context.
-
E.
ticketFormat
Indicates the specific structure, layout, or template in which a ticket is represented or issued.
- 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_69e75db4135881909acc287ebcb7a505 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f62d89b89c8190afb372a8172111e7 |
completed | May 2, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69f62c1379f08190836c3e02b0c892df |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 21, 2026, 1:56 p.m.