Triple
T12446628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fernandina Beach Municipal Airport |
E297415
|
entity |
| Predicate | category in NPIAS |
P44220
|
FINISHED |
| Object | general aviation facility |
—
|
LITERAL 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: general aviation facility | Statement: [Fernandina Beach Municipal Airport, category in NPIAS, general aviation facility]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: category in NPIAS Context triple: [Fernandina Beach Municipal Airport, category in NPIAS, general aviation facility]
-
A.
NPIAS category
chosen
Indicates the classification of an airport within the National Plan of Integrated Airport Systems, specifying its role and priority in the national airport system.
-
B.
nationalPlanCategory
Indicates the classification of a national plan into a specific category or type based on its purpose or characteristics.
-
C.
NAICSCode
Indicates that an entity is classified under a specific North American Industry Classification System (NAICS) code, defining its primary type of economic activity.
-
D.
canonicalCategory
Indicates that an entity is assigned to its primary or standard category within a classification system.
-
E.
classificationReference
Indicates that one entity serves as a reference or source for the classification or categorization applied to another entity.
- F. None of above.
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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95151e7348190a1d4953a8b416a13 |
completed | April 10, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69d94d3c27a08190a0237200203e476d |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:56 p.m.