Triple
T22240831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dalton Municipal Airport |
E549715
|
entity |
| Predicate | hasFaaCode |
P420
|
FINISHED |
| Object | DNN |
—
|
NE NERFINISHED |
How this triple was built (3 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: DNN | Statement: [Dalton Municipal Airport, hasFaaCode, DNN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DNN Context triple: [Dalton Municipal Airport, hasFaaCode, DNN]
-
A.
DNN
DNN is the stock ticker symbol for Denison Mines Corp., a Canadian uranium exploration and development company.
-
B.
FNN
FNN is the three-letter National Rail station code assigned to Farnborough North railway station in Hampshire, England.
-
C.
FNN
FNN is a Japanese commercial television news network centered around Fuji Television that provides national news programming through its affiliated stations.
-
D.
NN
NN is the postcode area in the United Kingdom that covers Northampton and surrounding parts of Northamptonshire.
-
E.
deep feedforward networks
Deep feedforward networks are a class of neural network architectures in which information flows in one direction through multiple layers to learn complex input–output mappings without recurrent connections.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DNN Target entity description: DNN is the FAA location identifier assigned to Dalton Municipal Airport in Georgia, United States.
-
A.
DNN
DNN is the stock ticker symbol for Denison Mines Corp., a Canadian uranium exploration and development company.
-
B.
FNN
FNN is the three-letter National Rail station code assigned to Farnborough North railway station in Hampshire, England.
-
C.
FNN
FNN is a Japanese commercial television news network centered around Fuji Television that provides national news programming through its affiliated stations.
-
D.
NN
NN is the postcode area in the United Kingdom that covers Northampton and surrounding parts of Northamptonshire.
-
E.
deep feedforward networks
Deep feedforward networks are a class of neural network architectures in which information flows in one direction through multiple layers to learn complex input–output mappings without recurrent connections.
- F. None of above. chosen
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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f132140ed481909ab0d4022756a4ba |
completed | April 28, 2026, 10:17 p.m. |
Created at: April 16, 2026, 8:38 p.m.