Triple
T32259329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vernal Regional Airport |
E824104
|
entity |
| Predicate | category (FAA NPIAS) |
P44220
|
FINISHED |
| Object | primary commercial service airport |
—
|
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: primary commercial service airport | Statement: [Vernal Regional Airport, category (FAA NPIAS), primary commercial service airport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: category (FAA NPIAS) Context triple: [Vernal Regional Airport, category (FAA NPIAS), primary commercial service airport]
-
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.
clusterDesignation
Indicates that an entity is assigned to or identified as part of a specific cluster or grouping.
-
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.
statisticalAreaClassification
Indicates how an area is categorized based on statistical criteria, such as population, density, or other quantitative measures, for analysis or reporting purposes.
-
E.
hasAirportClassification
Indicates that an airport is assigned a specific classification or category based on defined criteria.
- 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_69f3490db0748190bfef6e50c95d39d3 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bc5652e08190b519631b7d497e75 |
completed | May 3, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6cef208190bc5cd43d96127004 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:41 a.m.