Triple
T12643293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Travelcard Zone 6 |
E301952
|
entity |
| Predicate | regulatesFaresFor |
P44689
|
FINISHED |
| Object | stations in outer Greater London |
—
|
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: stations in outer Greater London | Statement: [Travelcard Zone 6, regulatesFaresFor, stations in outer Greater London]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regulatesFaresFor Context triple: [Travelcard Zone 6, regulatesFaresFor, stations in outer Greater London]
-
A.
fareAppliesTo
Indicates that a specific fare is applicable to a particular trip, service, passenger category, or travel condition.
-
B.
fareCapping
Indicates a limit on the total amount a rider can be charged for fares over a set period, after which additional trips are free or discounted.
-
C.
fareBasis
Indicates the specific fare rule or pricing category that applies to a ticket or travel segment.
-
D.
farePolicyAuthority
chosen
Indicates that an authority or organization is responsible for defining, regulating, or overseeing the fare policy applied to a transportation service or route.
-
E.
fareTypes
Indicates the categories or kinds of fares (e.g., ticket or pricing options) that apply to a given travel or service offering.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ae493481908f82e0d05dce20bd |
completed | April 10, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69d960b47130819097e1162ed4fc993a |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:17 p.m.