Triple
T28822841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark III SkyTrain cars |
E727818
|
entity |
| Predicate | driverCab |
P145510
|
FINISHED |
| Object | none |
—
|
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: none | Statement: [Mark III SkyTrain cars, driverCab, none]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: driverCab Context triple: [Mark III SkyTrain cars, driverCab, none]
-
A.
operatorCab
Indicates that a person or organization serves as the operating company or carrier responsible for running a specific cab or taxi service.
-
B.
crewCab
chosen
Indicates that a vehicle has a crew cab configuration, meaning its cabin is designed to seat multiple occupants in both front and rear rows.
-
C.
hasChauffeur
Indicates that one entity employs or uses another entity to drive them or their vehicle as a chauffeur.
-
D.
drivers
Indicates that one entity operates or controls a vehicle or means of transport for another entity or in a given context.
-
E.
driveType
Indicates the type or configuration of the drive mechanism used to power or propel an 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_69f0319d09088190bbf14cdf1987792a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 28, 2026, 6:35 a.m.