Triple
T12775453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kikaijima |
E305356
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object |
Kikai Airport
Kikai Airport is a small regional airport in Kagoshima Prefecture, Japan, serving the island of Kikaijima with domestic flights.
|
E1024204
|
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: Kikai Airport | Statement: [Kikaijima, hasAirport, Kikai Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kikai Airport Context triple: [Kikaijima, hasAirport, Kikai Airport]
-
A.
Makung Airport
Makung Airport is a regional airport serving the Penghu Islands in Taiwan, providing domestic flights that connect the archipelago with major cities on the Taiwanese mainland.
-
B.
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.
-
C.
Kadala Airport
Kadala Airport is the main commercial airport serving the city of Chita in eastern Siberia, Russia.
-
D.
Puyo Airport
Puyo Airport is a regional public airport serving the city of Puyo and the surrounding area in Ecuador’s Amazonian Pastaza Province.
-
E.
Kirakira Airport
Kirakira Airport is a small regional airfield serving the town of Kirakira and surrounding communities in Makira-Ulawa Province of the Solomon Islands.
- 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: Kikai Airport Triple: [Kikaijima, hasAirport, Kikai Airport]
Generated description
Kikai Airport is a small regional airport in Kagoshima Prefecture, Japan, serving the island of Kikaijima with domestic flights.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kikai Airport Target entity description: Kikai Airport is a small regional airport in Kagoshima Prefecture, Japan, serving the island of Kikaijima with domestic flights.
-
A.
Makung Airport
Makung Airport is a regional airport serving the Penghu Islands in Taiwan, providing domestic flights that connect the archipelago with major cities on the Taiwanese mainland.
-
B.
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.
-
C.
Kadala Airport
Kadala Airport is the main commercial airport serving the city of Chita in eastern Siberia, Russia.
-
D.
Puyo Airport
Puyo Airport is a regional public airport serving the city of Puyo and the surrounding area in Ecuador’s Amazonian Pastaza Province.
-
E.
Kirakira Airport
Kirakira Airport is a small regional airfield serving the town of Kirakira and surrounding communities in Makira-Ulawa Province of the Solomon Islands.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df6b3c88190b0bbe70de8ddcbf3 |
completed | April 10, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eac829ec8190bea8efdc93151aa0 |
completed | May 3, 2026, 6:27 a.m. |
| NEDg | Description generation | batch_69f6ebb1cd208190970ad8c21e852d93 |
completed | May 3, 2026, 6:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6ec48035881909342b57c061a22a9 |
completed | May 3, 2026, 6:33 a.m. |
Created at: April 9, 2026, 5:29 p.m.