Triple
T5624130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japan Transocean Air |
E147678
|
entity |
| Predicate | hub |
P423
|
FINISHED |
| Object | Naha Airport |
E90732
|
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: Naha Airport | Statement: [Japan Transocean Air, hub, Naha Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naha Airport Context triple: [Japan Transocean Air, hub, Naha Airport]
-
A.
Naha Airport
chosen
Naha Airport is the main commercial airport serving Okinawa Prefecture in Japan, acting as a key domestic and regional hub in the Ryukyu Islands.
-
B.
Hana Airport
Hana Airport is a small regional airport serving the remote town of Hāna on the eastern coast of Maui, Hawaii.
-
C.
Katunayake Airport
Katunayake Airport, now known as Bandaranaike International Airport, is the main international gateway to Sri Lanka located near Colombo.
-
D.
Senai International Airport
Senai International Airport is a major airport in the Malaysian state of Johor that serves the city of Johor Bahru and the surrounding southern region as a key domestic and regional air travel hub.
-
E.
Gando Airport
Gando Airport is the main international airport serving Gran Canaria in Spain’s Canary Islands.
- 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_69c00906f2a88190a992c66b13d606d4 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c022165d8c8190b2a14f1cd0a45ecc |
completed | March 22, 2026, 5:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d6180f081908145f8d70ad6434c |
completed | March 22, 2026, 8:13 p.m. |
Created at: March 22, 2026, 3:40 p.m.