Triple
T18729233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forest Hills station |
E457986
|
entity |
| Predicate | hasBusFacilityType |
P120260
|
FINISHED |
| Object | off-street busway |
—
|
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: off-street busway | Statement: [Forest Hills station, hasBusFacilityType, off-street busway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBusFacilityType Context triple: [Forest Hills station, hasBusFacilityType, off-street busway]
-
A.
includesBusFacility
chosen
Indicates that one entity contains or provides a bus-related facility as part of its features or infrastructure.
-
B.
hasBusStandType
Indicates the specific category or type of bus stand associated with a given bus stand entity.
-
C.
hasBusPlatforms
Indicates that a location or facility is equipped with one or more designated platforms for boarding or alighting from buses.
-
D.
hasBusStation
Indicates that a place or area contains or is served by a bus station.
-
E.
hasBusServices
Indicates that one location or entity is served by bus routes or bus transportation provided by 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d7660488190b4f70db963d05ef6 |
completed | April 20, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69e48d03766c8190a43f7681842f4f8d |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:50 a.m.