Triple
T17817439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maitland Airport |
E444883
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Maitland, New South Wales |
—
|
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: Maitland, New South Wales | Statement: [Maitland Airport, serves, Maitland, New South Wales]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maitland, New South Wales Context triple: [Maitland Airport, serves, Maitland, New South Wales]
-
A.
Maitland, New South Wales
chosen
Maitland, New South Wales is a historic regional city in Australia known for its heritage architecture and proximity to the Hunter Valley wine region.
-
B.
Maitland
Maitland is a rural service town located in the central region of South Australia's Yorke Peninsula.
-
C.
Maitland
Maitland is a Scottish surname historically associated with the noble Lauderdale family and other prominent lineages.
-
D.
Minto, New South Wales
Minto, New South Wales is a suburb in south-western Sydney, Australia, known as a residential area with local commercial facilities and rail connectivity to the broader metropolitan region.
-
E.
Newcastle, New South Wales
Newcastle, New South Wales is a coastal Australian city known for its busy port, beaches, and historic industrial and coal-mining heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48880457c81908214741d6cd7a1ee |
completed | April 19, 2026, 7:47 a.m. |
Created at: April 10, 2026, 10:14 a.m.