Triple
T22240817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dalton Municipal Airport |
E549715
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Dalton Municipal Airport |
—
|
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: Dalton Municipal Airport | Statement: [Dalton Municipal Airport, hasName, Dalton Municipal Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dalton Municipal Airport Context triple: [Dalton Municipal Airport, hasName, Dalton Municipal Airport]
-
A.
Dalton Municipal Airport
chosen
Dalton Municipal Airport is a public general aviation airport serving the city of Dalton and the surrounding region in northwest Georgia.
-
B.
Deming Municipal Airport
Deming Municipal Airport is a public-use airport serving the city of Deming and the surrounding region in southwestern New Mexico.
-
C.
Blosser Municipal Airport
Blosser Municipal Airport is a public-use airport serving the city of Concordia in north-central Kansas.
-
D.
Dillant–Hopkins Airport
Dillant–Hopkins Airport is a public regional airport serving the city of Keene and the surrounding area in southwestern New Hampshire.
-
E.
Machesney Airport
Machesney Airport was a former airfield in Illinois that played a key role in the early aviation history of the Machesney Park area.
- 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_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.