Triple
T28596894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Granville station |
E723798
|
entity |
| Predicate | hasBusConnectionsOn |
P2423
|
FINISHED |
| Object | Granville Street |
—
|
NE NERFINISHED |
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: Granville Street | Statement: [Granville station, hasBusConnectionsOn, Granville Street]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBusConnectionsOn Context triple: [Granville station, hasBusConnectionsOn, Granville Street]
-
A.
hasPublicTransportConnection
Indicates that there is an available public transportation link or service connecting the related entities.
-
B.
providesRailConnectionsWithin
Indicates that an entity offers or facilitates rail transport links connecting locations inside a specified area or region.
-
C.
hasBusInterchange
chosen
Indicates that one transport-related entity includes, contains, or is associated with a bus interchange facility.
-
D.
hasPassengerRailConnection
Indicates that there exists a passenger rail service linking one location or transport node to another.
-
E.
hasBusStation
Indicates that a place or area contains or is served by a bus station.
- 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_69f01d80b1908190980594837604b8c7 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6bbf6e33c819086e5176d64e7a614 |
completed | May 3, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
Created at: April 28, 2026, 4:22 a.m.