Triple
T4282890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Augusta Regional Airport |
E97195
|
entity |
| Predicate | ICAO code |
P419
|
FINISHED |
| Object |
KAGS
KAGS is the ICAO airport code for Augusta Regional Airport, a public airport serving the Augusta, Georgia area in the United States.
|
E426364
|
NE FINISHED |
How this triple was built (4 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: KAGS | Statement: [Augusta Regional Airport, ICAO code, KAGS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KAGS Context triple: [Augusta Regional Airport, ICAO code, KAGS]
-
A.
KSGH
KSGH is the ICAO airport code for Springfield–Beckley Municipal Airport in Springfield, Ohio, United States.
-
B.
KGX
KGX is the National Rail station code for London King's Cross, a major central London railway terminus and transport hub.
-
C.
KGG
KGG is the abbreviated name of Kings Guard Gaming, an NBA 2K League esports team affiliated with the Sacramento Kings.
-
D.
KCGS
KCGS is the ICAO airport code for College Park Airport, a historic general aviation airfield located in College Park, Maryland, USA.
-
E.
KSMF
KSMF is the ICAO airport code for Sacramento International Airport, a major commercial airport serving California’s capital region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: KAGS Triple: [Augusta Regional Airport, ICAO code, KAGS]
Generated description
KAGS is the ICAO airport code for Augusta Regional Airport, a public airport serving the Augusta, Georgia area in the United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KAGS Target entity description: KAGS is the ICAO airport code for Augusta Regional Airport, a public airport serving the Augusta, Georgia area in the United States.
-
A.
KSGH
KSGH is the ICAO airport code for Springfield–Beckley Municipal Airport in Springfield, Ohio, United States.
-
B.
KGX
KGX is the National Rail station code for London King's Cross, a major central London railway terminus and transport hub.
-
C.
KGG
KGG is the abbreviated name of Kings Guard Gaming, an NBA 2K League esports team affiliated with the Sacramento Kings.
-
D.
KCGS
KCGS is the ICAO airport code for College Park Airport, a historic general aviation airfield located in College Park, Maryland, USA.
-
E.
KSMF
KSMF is the ICAO airport code for Sacramento International Airport, a major commercial airport serving California’s capital region.
- F. None of above. chosen
Provenance (5 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_69b3454595848190a0e6bbb6a2bea040 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3503a84548190989a96d1a30d6ef7 |
completed | March 12, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b7bec1a88190bd36ed6d48e1c94e |
completed | March 14, 2026, 7:32 p.m. |
| NEDg | Description generation | batch_69b5b870a66c8190a59bfc0e99234596 |
completed | March 14, 2026, 7:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5b908fad88190846278c782a10cdb |
completed | March 14, 2026, 7:37 p.m. |
Created at: March 12, 2026, 11:07 p.m.