Triple
T7152854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Livonia Avenue (BMT Canarsie Line) via Junius Street transfer |
E166733
|
entity |
| Predicate | transferFare |
P12539
|
FINISHED |
| Object | free transfer |
—
|
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: free transfer | Statement: [Livonia Avenue (BMT Canarsie Line) via Junius Street transfer, transferFare, free transfer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transferFare Context triple: [Livonia Avenue (BMT Canarsie Line) via Junius Street transfer, transferFare, free transfer]
-
A.
fareSystemChange
Indicates a change in the rules, structure, or method by which fares are calculated, collected, or applied.
-
B.
fare
chosen
Indicates the price or cost required for a person or thing to be transported by a particular mode of travel or service.
-
C.
fareSystem
Indicates a relationship where a system is used to determine, collect, or manage fares or payments for transportation or similar services.
-
D.
fareIntegration
Indicates that multiple transportation services or modes share a coordinated fare system, allowing passengers to use a single payment or ticket across them.
-
E.
transferType
Indicates the specific method or category of how something is transferred from one entity to another.
- 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_69c68886779c8190a8e3fbabffe68253 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e7f52c1081908c4fa424d5e965bc |
completed | March 27, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69c6e1caf4e48190b47bb398a3c1554d |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:46 p.m.