Triple
T10419469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Augusta State Airport |
E245607
|
entity |
| Predicate | IATA code |
P2569
|
FINISHED |
| Object | AUG |
E245607
|
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: AUG | Statement: [Augusta State Airport, IATA code, AUG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AUG Context triple: [Augusta State Airport, IATA code, AUG]
-
A.
AUG
chosen
AUG is the IATA airport code for Augusta State Airport in Augusta, Maine, United States.
-
B.
AUGM
AUGM is a regional network of public universities from South America that promotes academic cooperation, research collaboration, and integration among its member institutions.
-
C.
AAR
AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
-
D.
AAR
AAR is the ICAO airline designator used to identify Asiana Airlines in international aviation operations and communications.
-
E.
AAR
AAR is the commonly used abbreviation for All-American Road, a designation for particularly scenic and culturally significant highways in the United States.
- 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.