Triple
T21625791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AUU |
E533697
|
entity |
| Predicate | refersTo |
P37
|
FINISHED |
| Object | Aurukun Airport |
—
|
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: Aurukun Airport | Statement: [AUU, refersTo, Aurukun Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aurukun Airport Context triple: [AUU, refersTo, Aurukun Airport]
-
A.
Aurukun Airport
chosen
Aurukun Airport is a small regional airport serving the remote Indigenous community of Aurukun on the western coast of Cape York Peninsula in Queensland, Australia.
-
B.
Maningrida Airport
Maningrida Airport is a small regional airfield serving the remote community of Maningrida in Australia's Northern Territory.
-
C.
Kambalda Airport
Kambalda Airport is a small regional airfield serving the mining town of Kambalda in Western Australia.
-
D.
Buala Airport
Buala Airport is a small regional airfield serving the town of Buala on Santa Isabel Island in the Solomon Islands.
-
E.
Inyokern Airport
Inyokern Airport is a public airport in Kern County, California, primarily serving the Ridgecrest area and the surrounding high desert communities.
- 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_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef52131f2c8190b9966adf43a0fe4f |
completed | April 27, 2026, 12:09 p.m. |
Created at: April 16, 2026, 6:34 p.m.