Triple
T7248746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese domestic airport network |
E156540
|
entity |
| Predicate | servedBy |
P82
|
FINISHED |
| Object | Solaseed Air |
E186919
|
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: Solaseed Air | Statement: [Japanese domestic airport network, servedBy, Solaseed Air]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Solaseed Air Context triple: [Japanese domestic airport network, servedBy, Solaseed Air]
-
A.
Solaseed Air
chosen
Solaseed Air is a Japanese regional airline based in Miyazaki that primarily operates domestic routes across Kyushu and other parts of Japan.
-
B.
Air Astra
Air Astra is a Bangladeshi airline that operates domestic flights, primarily centered around Dhaka’s Hazrat Shahjalal International Airport.
-
C.
Cargojet
Cargojet is a Canadian cargo airline specializing in time-sensitive overnight air freight services across North America and select international routes.
-
D.
Amakusa Airlines
Amakusa Airlines is a small Japanese regional airline based in Kumamoto Prefecture that operates domestic routes connecting remote islands and regional cities.
-
E.
Akasa Air
Akasa Air is an Indian low-cost airline that began operations in 2022, offering domestic flights with a focus on affordable fares and a modern fleet.
- 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_69c68827b5e481908dc05e145b2c92d4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea763f208190af1210cd8d2a05c9 |
completed | March 27, 2026, 8:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7d39dab6081909842bfa37ff3f972 |
completed | March 28, 2026, 1:11 p.m. |
Created at: March 27, 2026, 2:56 p.m.