Triple
T22775684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gulf Shores International Airport at Jack Edwards Field |
E563690
|
entity |
| Predicate | FAAcode |
P420
|
FINISHED |
| Object | JKA |
—
|
NE NERFINISHED |
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: JKA | Statement: [Gulf Shores International Airport at Jack Edwards Field, FAAcode, JKA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JKA Context triple: [Gulf Shores International Airport at Jack Edwards Field, FAAcode, JKA]
-
A.
JKA
chosen
JKA is the FAA airport code for Jack Edwards National Airport, a public airport serving Gulf Shores, Alabama.
-
B.
JGK
JGK is the station code for Jinan West railway station, a major high-speed rail hub in Jinan, Shandong, China.
-
C.
KJA
KJA is the IATA airport code for Krasnoyarsk Yemelyanovo Airport, a major international airport serving the city of Krasnoyarsk in central Russia.
-
D.
RJKA
RJKA is the ICAO airport code for Amami Airport, a regional airport serving Amami Ōshima in Kagoshima Prefecture, Japan.
-
E.
JKI
JKI is the Julius Kühn Institute, Germany’s federal research center dedicated to plant cultivation and crop protection.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24554497c819080b996e071de27c2 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b61acf881909d9f54e0966ee3cc |
completed | April 29, 2026, 3:30 a.m. |
Created at: April 17, 2026, 3:28 p.m.