Triple
T31795382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Transit Authority |
E811581
|
entity |
| Predicate | operatedBusServicesIn |
P39381
|
FINISHED |
| Object | Sydney metropolitan area |
—
|
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: Sydney metropolitan area | Statement: [State Transit Authority, operatedBusServicesIn, Sydney metropolitan area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatedBusServicesIn Context triple: [State Transit Authority, operatedBusServicesIn, Sydney metropolitan area]
-
A.
operatesInterurbanBusServices
Indicates that an entity runs or manages bus transportation services operating between different towns or cities within a region.
-
B.
hasBusServices
chosen
Indicates that one location or entity is served by bus routes or bus transportation provided by another.
-
C.
operatedPassengerServices
Indicates that an entity provided and managed transportation services specifically for carrying passengers.
-
D.
hasBusServiceOperatorType
Indicates that a bus service is associated with a specific type or category of operator responsible for running it.
-
E.
operatedFreightServiceIn
Indicates that an entity operated a freight transportation service within or across the specified geographic area or route.
- 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_69f348e60748819082dcaa7792659803 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ffc704e1e88190884928a6a5c55a87 |
completed | May 9, 2026, 11:45 p.m. |
| PD | Predicate disambiguation | batch_69ffc6b483d881908ad872e25fa6abc5 |
completed | May 9, 2026, 11:43 p.m. |
Created at: April 30, 2026, 11:40 p.m.