Triple
T9380988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SPT Zone 1 |
E225780
|
entity |
| Predicate | fareRelevance |
P65069
|
FINISHED |
| Object | determines ticket prices within central Glasgow |
—
|
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: determines ticket prices within central Glasgow | Statement: [SPT Zone 1, fareRelevance, determines ticket prices within central Glasgow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fareRelevance Context triple: [SPT Zone 1, fareRelevance, determines ticket prices within central Glasgow]
-
A.
farePolicyRelatedTo
chosen
Indicates a relationship where a fare policy is associated with, applies to, or governs a particular entity, context, or service.
-
B.
fareIntegrationScope
Indicates the extent to which fares are coordinated or unified across different transportation services or systems.
-
C.
fare
Indicates the price or cost required for a person or thing to be transported by a particular mode of travel or service.
-
D.
relatedBenefit
Indicates that one entity provides an advantage, gain, or positive outcome that is connected or attributable to another entity.
-
E.
fareAppliesTo
Indicates that a specific fare is applicable to a particular trip, service, passenger category, or travel condition.
- 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_69ca842e9dcc8190a264119e683cfe04 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd50bc94108190a1b8146a78166009 |
completed | April 1, 2026, 5:07 p.m. |
| PD | Predicate disambiguation | batch_69cca53bd6ec81909bf403ce304e5c08 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:44 p.m.