Triple
T14315685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Province |
E354948
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object | Munda Airport |
E1058827
|
NE 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: Munda Airport | Statement: [Western Province, hasAirport, Munda Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Munda Airport Context triple: [Western Province, hasAirport, Munda Airport]
-
A.
Amausi Airport
Amausi Airport is the former name of Chaudhary Charan Singh International Airport, the main airport serving Lucknow in the Indian state of Uttar Pradesh.
-
B.
Kambalda Airport
Kambalda Airport is a small regional airfield serving the mining town of Kambalda in Western Australia.
-
C.
Milikapiti Airport
Milikapiti Airport is a small regional airfield serving the remote community of Milikapiti on Melville Island in Australia's Northern Territory.
-
D.
Buala Airport
chosen
Buala Airport is a small regional airfield serving the town of Buala on Santa Isabel Island in the Solomon Islands.
-
E.
Totegegie Airport
Totegegie Airport is the main air gateway serving the remote Gambier Islands in French Polynesia, providing vital connections to other parts of the territory.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8838e45c819080ee69dd39e3bd43 |
completed | April 14, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a3479088190929ab4b9d218a608 |
completed | May 8, 2026, 5:52 a.m. |
Created at: April 10, 2026, 1:12 a.m.