Triple
T16695970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naha Airport |
E405716
|
entity |
| Predicate | IATA code |
P2569
|
FINISHED |
| Object | OKA |
E405715
|
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: OKA | Statement: [Naha Airport, IATA code, OKA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OKA Context triple: [Naha Airport, IATA code, OKA]
-
A.
OKA
chosen
OKA is the IATA airport code for Naha Airport, the main air gateway to Okinawa, Japan.
-
B.
OKAS
OKAS is the ICAO airport code assigned to Ali Al Salem Air Base, a key military airfield in Kuwait.
-
C.
OKO
OKO is the IATA airport code for Yokota Air Base, a United States Air Force installation in western Tokyo, Japan.
-
D.
Aoto
Aoto is a neighborhood in Tokyo, Japan, located within Katsushika Ward and known as a residential and commercial area with convenient rail access.
-
E.
Okak
Okak is a dialectal variety of the Fang language spoken by Fang communities in Central Africa.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37eadc35881909fb0cc405a0e2fae |
completed | April 18, 2026, 12:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00919d02088190acecb1a62a100255 |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:19 a.m.