Triple
T19236260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fremont County Airport |
E481004
|
entity |
| Predicate | categoryAccordingToFAA |
P91661
|
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: [Fremont County Airport, categoryAccordingToFAA, general aviation facility]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: categoryAccordingToFAA Context triple: [Fremont County Airport, categoryAccordingToFAA, general aviation facility]
-
A.
airworthinessCategory
Indicates the regulatory airworthiness classification assigned to an aircraft or component, defining the standards and conditions under which it is approved to operate.
-
B.
typeOfAviation
chosen
Indicates the specific category or kind of aviation to which an entity belongs (e.g., commercial, military, private).
-
C.
typicalAircraftTypeCategory
Indicates the general class or category of aircraft type that is most commonly associated with or used in a given context.
-
D.
planeCategory
Indicates the classification or type of a plane within a defined categorization scheme.
-
E.
ICAOClassificationSystem
Indicates a relationship where an entity is categorized or defined according to the standards and categories of the ICAO (International Civil Aviation Organization) classification system.
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5faed9ef0819085035cc17d1546e5 |
completed | April 20, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e4dcfae6f081909cc173cf71a5005c |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:26 p.m.