Triple
T16659556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biloela |
E404818
|
entity |
| Predicate | hasNearbyAirport |
P4363
|
FINISHED |
| Object |
Biloela Airport
Biloela Airport is a regional airport in Queensland, Australia, providing air transport services for the town of Biloela and surrounding areas.
|
E1226517
|
NE FINISHED |
How this triple was built (4 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: Biloela Airport | Statement: [Biloela, hasNearbyAirport, Biloela Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Biloela Airport Context triple: [Biloela, hasNearbyAirport, Biloela Airport]
-
A.
Vunisea Airport
Vunisea Airport is a small public airport serving the island of Kadavu in Fiji, providing domestic connections primarily to and from the capital, Suva.
-
B.
Kambalda Airport
Kambalda Airport is a small regional airfield serving the mining town of Kambalda in Western Australia.
-
C.
Buala Airport
Buala Airport is a small regional airfield serving the town of Buala on Santa Isabel Island in the Solomon Islands.
-
D.
Whyalla Airport
Whyalla Airport is a regional airport in South Australia that serves the city of Whyalla with domestic flights and general aviation services.
-
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. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Biloela Airport Triple: [Biloela, hasNearbyAirport, Biloela Airport]
Generated description
Biloela Airport is a regional airport in Queensland, Australia, providing air transport services for the town of Biloela and surrounding areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Biloela Airport Target entity description: Biloela Airport is a regional airport in Queensland, Australia, providing air transport services for the town of Biloela and surrounding areas.
-
A.
Vunisea Airport
Vunisea Airport is a small public airport serving the island of Kadavu in Fiji, providing domestic connections primarily to and from the capital, Suva.
-
B.
Kambalda Airport
Kambalda Airport is a small regional airfield serving the mining town of Kambalda in Western Australia.
-
C.
Buala Airport
Buala Airport is a small regional airfield serving the town of Buala on Santa Isabel Island in the Solomon Islands.
-
D.
Whyalla Airport
Whyalla Airport is a regional airport in South Australia that serves the city of Whyalla with domestic flights and general aviation services.
-
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. chosen
Provenance (5 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37bfe0fb081909f2de38df0ed59d7 |
completed | April 18, 2026, 12:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084ce7cf0819091e7a4de2cc010ea |
completed | May 10, 2026, 1:14 p.m. |
| NEDg | Description generation | batch_6a00862fe04481908bc114001357aea9 |
completed | May 10, 2026, 1:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00879d9f948190bdf40ff7be2505ff |
completed | May 10, 2026, 1:26 p.m. |
Created at: April 10, 2026, 5:18 a.m.