Triple
T1928009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RJOO |
E40876
|
entity |
| Predicate | identifies |
P310
|
FINISHED |
| Object | Osaka International Airport |
E7734
|
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: Osaka International Airport | Statement: [RJOO, identifies, Osaka International Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Osaka International Airport Context triple: [RJOO, identifies, Osaka International Airport]
-
A.
Osaka International Airport
chosen
Osaka International Airport is a major Japanese airport serving the Osaka metropolitan area, primarily handling domestic flights and known locally as Itami Airport.
-
B.
Kansai International Airport
Kansai International Airport is a major international airport in Japan built on an artificial island in Osaka Bay, serving as a key gateway to the Kansai region.
-
C.
Kobe Airport
Kobe Airport is a regional airport located on an artificial island off the coast of Kobe, Japan, primarily serving domestic flights.
-
D.
Itami Airport
Itami Airport is a major domestic airport serving the Osaka metropolitan area in Japan.
-
E.
Haneda Airport
Haneda Airport is one of Tokyo’s primary international airports and one of Japan’s busiest air travel hubs.
- 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_69a8864711648190b07bed24ed76258e |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb263cdb8819084d0bda98a2a71e0 |
completed | March 7, 2026, 5:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1f702640819085b5d5d69615b92a |
completed | March 9, 2026, 7:28 p.m. |
Created at: March 4, 2026, 7:35 p.m.