Triple
T38531844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DeKalb Avenue station (BMT Canarsie Line) |
E923384
|
entity |
| Predicate | hasFreeOutOfSystemTransfer |
P19480
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [DeKalb Avenue station (BMT Canarsie Line), hasFreeOutOfSystemTransfer, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFreeOutOfSystemTransfer Context triple: [DeKalb Avenue station (BMT Canarsie Line), hasFreeOutOfSystemTransfer, no]
-
A.
hasFreeTransfer
chosen
Indicates that one entity allows or provides a transfer to another service, route, or segment without additional cost.
-
B.
hasTransferOption
Indicates that there exists a way or method for something (e.g., funds, data, ownership, or passengers) to be transferred from one entity or location to another.
-
C.
hasTransfer
Indicates a relationship where something is moved or conveyed from one entity or location to another.
-
D.
hasTransferToService
Indicates that something includes or involves a transfer directed to a particular service.
-
E.
hasFreeZone
Indicates that an entity includes or is associated with a designated free zone area where special rules, privileges, or exemptions apply.
- 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_69f76ea8f6348190a5c03fb6292bbee3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcd313e61c8190b174b331365b803f |
completed | May 7, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f6b2e08190bf0300ae7c9ae67a |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:32 p.m.