Triple
T10142799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kumamoto Airport |
E231626
|
entity |
| Predicate | focusCityFor |
P164
|
FINISHED |
| Object | Japan Airlines |
E12451
|
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: Japan Airlines | Statement: [Kumamoto Airport, focusCityFor, Japan Airlines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Japan Airlines Context triple: [Kumamoto Airport, focusCityFor, Japan Airlines]
-
A.
Japan Airlines
chosen
Japan Airlines is the flag carrier of Japan, operating an extensive network of domestic and international flights across Asia, Europe, and the Americas.
-
B.
All Nippon Airways
All Nippon Airways is a major Japanese airline and Star Alliance member known for its extensive domestic and international route network and high service standards.
-
C.
JAL
JAL is the vehicle registration code used on license plates issued in the Mexican state of Jalisco.
-
D.
Japan Transocean Air
Japan Transocean Air is a Japanese regional airline that primarily operates domestic routes, especially serving the Okinawa region.
-
E.
Skymark Airlines
Skymark Airlines is a Japanese low-cost carrier based in Tokyo that operates domestic flights and some international services.
- 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_69ca848364f881908a24366a6feec1db |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdeb273fec8190818707167e031d58 |
completed | April 2, 2026, 4:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3008e56a481908d64077851063dbf |
completed | April 6, 2026, 12:38 a.m. |
Created at: March 30, 2026, 9:07 p.m.