Triple
T25420151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Yorkshire Metro zone 3 |
E636957
|
entity |
| Predicate | ticketTypeValid |
P115850
|
FINISHED |
| Object |
MetroCard
MetroCard is a rechargeable public transport smartcard used for prepaid travel on buses and trains within the West Yorkshire region of England.
|
E1679975
|
NE FINISHED |
How this triple was built (3 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: MetroCard | Statement: [West Yorkshire Metro zone 3, ticketTypeValid, MetroCard]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: MetroCard Triple: [West Yorkshire Metro zone 3, ticketTypeValid, MetroCard]
Generated description
MetroCard is a rechargeable public transport smartcard used for prepaid travel on buses and trains within the West Yorkshire region of England.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ticketTypeValid Context triple: [West Yorkshire Metro zone 3, ticketTypeValid, MetroCard]
-
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 (6 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_69f627aedf548190bc9f53c8a2d67b50 |
completed | May 2, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1089977f888190b2bcdee3449432b0 |
completed | May 22, 2026, 4:51 p.m. |
| NEDg | Description generation | batch_6a108a6600608190a719b3772ea40377 |
completed | May 22, 2026, 4:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a108b5689008190b0b1cc1ae06f2ae6 |
completed | May 22, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69f623a4e1048190bbb8dd1253fdcee9 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 21, 2026, 1:56 p.m.