Triple
T9833015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bathurst station |
E239032
|
entity |
| Predicate | hasOffStreetBusLoop |
P48776
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Bathurst station, hasOffStreetBusLoop, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOffStreetBusLoop Context triple: [Bathurst station, hasOffStreetBusLoop, yes]
-
A.
hasBusLoop
chosen
Indicates that a location or facility includes a designated looped roadway or area specifically for bus circulation, stopping, or turning.
-
B.
hasBusInterchange
Indicates that one transport-related entity includes, contains, or is associated with a bus interchange facility.
-
C.
hasStreetcarLoop
Indicates that a location or facility includes a dedicated looped track or route specifically for streetcars to turn around or circulate.
-
D.
hasTrolleybusLine
Indicates that there exists a trolleybus service or route connecting the related entities.
-
E.
hasPublicTransportStop
Indicates that a location or area contains or is served by a public transport stop, such as a bus, tram, or train stop.
- 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_69ca84e314108190978324a4bdb959f8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb336bfc4819084f0d4d6d1867484 |
completed | April 2, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69cd03e30bc08190816c0a6d29c21b0f |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:32 p.m.