Triple
T27103750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swan Hill line |
E686507
|
entity |
| Predicate | passengerServiceBrand |
P142506
|
FINISHED |
| Object | V/Line Swan Hill service |
—
|
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: V/Line Swan Hill service | Statement: [Swan Hill line, passengerServiceBrand, V/Line Swan Hill service]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: passengerServiceBrand Context triple: [Swan Hill line, passengerServiceBrand, V/Line Swan Hill service]
-
A.
airlineBrand
Indicates that one entity functions as the commercial airline brand associated with, or operating under, another entity.
-
B.
airlineAssociatedBrand
Indicates that a brand is commercially or operationally associated with a particular airline, such as through co-branding, partnership, or subsidiary relationships.
-
C.
publicTransportBrand
chosen
Indicates that a public transport service, line, or vehicle operates under or is associated with a specific brand or branding entity.
-
D.
hasPassengerServicesTo
Indicates that a transportation provider operates passenger services connecting one location or entity to another.
-
E.
primaryPassengerOperatorOnRoute
Indicates that an operator is the main provider of passenger services on a specific 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_69ef1489f8b481908e24a1985982bd26 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f66598d6008190a7ca8ff80399fd34 |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 27, 2026, 8:49 a.m.