Triple
T16659557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biloela |
E404818
|
entity |
| Predicate | hasNearbyAirport |
P4363
|
FINISHED |
| Object |
Thangool Airport
Thangool Airport is a regional airport in Central Queensland, Australia, serving the town of Biloela and surrounding areas with domestic flights.
|
E1227553
|
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: Thangool Airport | Statement: [Biloela, hasNearbyAirport, Thangool Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thangool Airport Context triple: [Biloela, hasNearbyAirport, Thangool Airport]
-
A.
Gaggal Airport
Gaggal Airport is a domestic airport serving the Kangra district and the Dharamshala region in the Indian state of Himachal Pradesh.
-
B.
Heho Airport
Heho Airport is a regional airport in Myanmar that serves as the main air gateway to Taunggyi and the nearby Inle Lake area.
-
C.
Muanda Airport
Muanda Airport is a public airport serving the coastal town of Muanda in the western Democratic Republic of the Congo, providing regional air connectivity for passengers and cargo.
-
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.
Awang Airport
Awang Airport is a domestic airport serving the province of Maguindanao in the southern Philippines.
- 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: Thangool Airport Triple: [Biloela, hasNearbyAirport, Thangool Airport]
Generated description
Thangool Airport is a regional airport in Central Queensland, Australia, serving the town of Biloela and surrounding areas with domestic flights.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thangool Airport Target entity description: Thangool Airport is a regional airport in Central Queensland, Australia, serving the town of Biloela and surrounding areas with domestic flights.
-
A.
Gaggal Airport
Gaggal Airport is a domestic airport serving the Kangra district and the Dharamshala region in the Indian state of Himachal Pradesh.
-
B.
Heho Airport
Heho Airport is a regional airport in Myanmar that serves as the main air gateway to Taunggyi and the nearby Inle Lake area.
-
C.
Muanda Airport
Muanda Airport is a public airport serving the coastal town of Muanda in the western Democratic Republic of the Congo, providing regional air connectivity for passengers and cargo.
-
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.
Awang Airport
Awang Airport is a domestic airport serving the province of Maguindanao in the southern Philippines.
- 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_6a008a30e55c8190a5047656b9873a0e |
completed | May 10, 2026, 1:37 p.m. |
| NEDg | Description generation | batch_6a008b30c6688190845e23c1df7ff96a |
completed | May 10, 2026, 1:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a008bfe16a48190bae435a7cd943c28 |
completed | May 10, 2026, 1:45 p.m. |
Created at: April 10, 2026, 5:18 a.m.