Triple
T17716895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PBAY |
E442222
|
entity |
| Predicate | fareZoneRole |
P54836
|
FINISHED |
| Object | identifies origin station in fare calculations |
—
|
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: identifies origin station in fare calculations | Statement: [PBAY, fareZoneRole, identifies origin station in fare calculations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fareZoneRole Context triple: [PBAY, fareZoneRole, identifies origin station in fare calculations]
-
A.
fareZoneIncludes
Indicates that a specified fare zone geographically or logically contains a given location, stop, or segment for fare calculation purposes.
-
B.
fareZoneDescription
Indicates the textual description of the fare zone associated with a service, location, or segment.
-
C.
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.
-
D.
fareZoneStart
Indicates the fare zone in which a journey, ticket, or pricing calculation begins.
-
E.
fareZoneHierarchyPosition
Indicates the relative level or rank of a fare zone within a hierarchical fare zone 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47481663c8190a1110385e5596ab0 |
completed | April 19, 2026, 6:21 a.m. |
| PD | Predicate disambiguation | batch_69e3cde601d4819097903f471f1fe99a |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:06 a.m.