Triple
T12929793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natuna Islands |
E309343
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object |
Ranai Airport
Ranai Airport is the main civil and military airport serving the remote Natuna Islands in Indonesia’s Riau Islands province.
|
E1028464
|
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: Ranai Airport | Statement: [Natuna Islands, hasAirport, Ranai Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ranai Airport Context triple: [Natuna Islands, hasAirport, Ranai Airport]
-
A.
Dumatubin Airport
Dumatubin Airport is a small regional airport serving the Kai Islands in Indonesia, providing domestic air connections to this remote archipelago.
-
B.
Begumpet Airport
Begumpet Airport is the former primary airport of Hyderabad, India, now used mainly for military, training, and charter operations after being superseded by Rajiv Gandhi International Airport.
-
C.
Beni Airport
Beni Airport is a small public airport serving the city of Beni in the North Kivu province of the Democratic Republic of the Congo.
-
D.
Awang Airport
Awang Airport is a domestic airport serving the province of Maguindanao in the southern Philippines.
-
E.
Baljek Airport
Baljek Airport is a small regional airport serving the town of Tura and the surrounding Garo Hills region in the Indian state of Meghalaya.
- 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: Ranai Airport Triple: [Natuna Islands, hasAirport, Ranai Airport]
Generated description
Ranai Airport is the main civil and military airport serving the remote Natuna Islands in Indonesia’s Riau Islands province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ranai Airport Target entity description: Ranai Airport is the main civil and military airport serving the remote Natuna Islands in Indonesia’s Riau Islands province.
-
A.
Dumatubin Airport
Dumatubin Airport is a small regional airport serving the Kai Islands in Indonesia, providing domestic air connections to this remote archipelago.
-
B.
Begumpet Airport
Begumpet Airport is the former primary airport of Hyderabad, India, now used mainly for military, training, and charter operations after being superseded by Rajiv Gandhi International Airport.
-
C.
Beni Airport
Beni Airport is a small public airport serving the city of Beni in the North Kivu province of the Democratic Republic of the Congo.
-
D.
Awang Airport
Awang Airport is a domestic airport serving the province of Maguindanao in the southern Philippines.
-
E.
Baljek Airport
Baljek Airport is a small regional airport serving the town of Tura and the surrounding Garo Hills region in the Indian state of Meghalaya.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97245b6408190816d9b7e314eb51a |
completed | April 10, 2026, 9:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6fefdd3d8819091196f68c2fd5ad0 |
completed | May 3, 2026, 7:53 a.m. |
| NEDg | Description generation | batch_69f703be3d8c8190aa004eb15dfdc98e |
completed | May 3, 2026, 8:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f70441c874819097e91125667a41f5 |
completed | May 3, 2026, 8:16 a.m. |
Created at: April 9, 2026, 5:42 p.m.