Triple
T25887874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sinhagad Road |
E652240
|
entity |
| Predicate | hasCityBusDepotNearby |
P126395
|
FINISHED |
| Object | Swargate bus depot |
—
|
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: Swargate bus depot | Statement: [Sinhagad Road, hasCityBusDepotNearby, Swargate bus depot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCityBusDepotNearby Context triple: [Sinhagad Road, hasCityBusDepotNearby, Swargate bus depot]
-
A.
hasBusStation
Indicates that a place or area contains or is served by a bus station.
-
B.
hasBusGarageNearby
chosen
Indicates that a bus garage is located in close proximity to the referenced entity.
-
C.
hasPublicTransportStop
Indicates that a location or area contains or is served by a public transport stop, such as a bus, tram, or train stop.
-
D.
hasAdjacentBusStation
Indicates that one location has a bus station situated directly next to or very near it.
-
E.
hasPublicTransitNode
Indicates that there exists a public transportation stop, station, or node associated with or located at the referenced entity.
- 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_69e7ab3b92cc81908febd90317862647 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f638d11c988190af7fd4572b08e038 |
completed | May 2, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69f63706b6008190993577193c85ff50 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 22, 2026, 8:18 a.m.