Triple
T31182528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GLASGOW CTL & QST |
E794933
|
entity |
| Predicate | fareGroupingRole |
P171225
|
FINISHED |
| Object | combines multiple stations into one fares entity |
—
|
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: combines multiple stations into one fares entity | Statement: [GLASGOW CTL & QST, fareGroupingRole, combines multiple stations into one fares entity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fareGroupingRole Context triple: [GLASGOW CTL & QST, fareGroupingRole, combines multiple stations into one fares entity]
-
A.
fareGroupCode
Indicates the code that identifies the fare group or category to which a particular fare or ticket belongs.
-
B.
farePolicyRole
Indicates the role or function an entity has within a fare policy, such as how it participates in defining, applying, or managing that policy.
-
C.
fareBoundaryRole
Indicates the specific role an entity plays in defining, managing, or applying a fare boundary within a fare or tariff system.
-
D.
fareCollectionType
Indicates the method or system used to collect fares or payments for a service.
-
E.
fareClassAccess
Indicates that a particular fare class grants access or eligibility to a specified service, benefit, or booking option.
- 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_69f224d675d08190957198068e440422 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c6f01e881908fa84f5d429d37ae |
completed | May 3, 2026, 12:53 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
| PDg | Predicate description generation | batch_69f69c2127088190ae92c72461576d3b |
completed | May 3, 2026, 12:51 a.m. |
Created at: April 29, 2026, 9:08 p.m.