Triple
T10419470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Augusta State Airport |
E245607
|
entity |
| Predicate | ICAO code |
P419
|
FINISHED |
| Object | KAUG |
E245608
|
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: KAUG | Statement: [Augusta State Airport, ICAO code, KAUG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KAUG Context triple: [Augusta State Airport, ICAO code, KAUG]
-
A.
KAUG
chosen
KAUG is the ICAO airport code for Augusta State Airport, a public airport serving Augusta, Maine, in the United States.
-
B.
KAU
KAU is the IATA airport code for Kauhava Air Base, a former military airfield in Kauhava, Finland.
-
C.
KAG
KAG is the abbreviation for "Keep America Great," a political campaign slogan associated with Donald Trump.
-
D.
KAUS
KAUS is the ICAO airport code for Austin–Bergstrom International Airport, the primary commercial airport serving Austin, Texas.
-
E.
KAF
KAF is the Kenya Air Force, the aerial warfare branch of the Kenya Defence Forces responsible for defending Kenyan airspace and providing air support to military operations.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea2aa7848190a7091ee71722fcc6 |
completed | April 7, 2026, 11:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fc17c874819096b656056ed2dd8a |
completed | April 9, 2026, 7:20 p.m. |
Created at: April 6, 2026, 12:11 p.m.