Triple
T26240970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adelaide–Melbourne railway |
E656310
|
entity |
| Predicate | passengerServiceFrequency |
P20359
|
FINISHED |
| Object | several times per week (The Overland) |
—
|
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: several times per week (The Overland) | Statement: [Adelaide–Melbourne railway, passengerServiceFrequency, several times per week (The Overland)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: passengerServiceFrequency Context triple: [Adelaide–Melbourne railway, passengerServiceFrequency, several times per week (The Overland)]
-
A.
transitFrequencyApprox
chosen
Indicates an approximate rate or regularity with which a transit event or service occurs between entities.
-
B.
offPeakServiceFrequency_minutes
Indicates the number of minutes between successive services during off-peak periods.
-
C.
serviceFrequencyContext
Indicates the contextual conditions or circumstances under which a service’s frequency is defined, applied, or interpreted.
-
D.
serviceFrequencyType
Indicates how often a service occurs or is scheduled within a given time period.
-
E.
servedPassengerTraffic
Indicates that an entity has provided transportation services to a certain volume or set of passengers.
- 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_69ee5b4c59a881909d9ee4fd013fffd5 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f650c70d7c819093d9a0f005f7c8d5 |
completed | May 2, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 26, 2026, 9:03 p.m.