Triple
T12719525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Travelcard Zone 1 |
E303936
|
entity |
| Predicate | fareRole |
P54836
|
FINISHED |
| Object | highest priced central zone in zonal system |
—
|
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: highest priced central zone in zonal system | Statement: [Travelcard Zone 1, fareRole, highest priced central zone in zonal system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fareRole Context triple: [Travelcard Zone 1, fareRole, highest priced central zone in zonal system]
-
A.
transportationRole
Indicates a role or function that an entity has specifically in the context of providing, operating, or supporting transportation.
-
B.
farePolicyRole
chosen
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.
factionRole
Indicates the specific role, function, or position an entity holds within a particular faction or group.
-
D.
transportRole
Indicates that an entity participates in a transportation process with a specific functional role (e.g., carrier, passenger, cargo, or operator).
-
E.
formRole
Indicates that an entity assumes, is assigned, or functions in a particular role within a specified context or structure.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96403957c81909acdee7bdae71696 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:24 p.m.