Triple
T19714449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Triangle North Executive Airport |
E473435
|
entity |
| Predicate | category (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: [Triangle North Executive Airport, category (NPIAS), general aviation facility]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: category (NPIAS) Context triple: [Triangle North Executive Airport, category (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.
canonicalCategory
Indicates that an entity is assigned to its primary or standard category within a classification system.
-
C.
naturalCategory
Indicates that an entity belongs to, or is classified under, a particular natural kind or category (such as a biological, physical, or otherwise naturally occurring group).
-
D.
eraClassification
Indicates the historical era or time period into which an entity is categorized or classified.
-
E.
categoryLabel_N
Indicates that an entity is assigned a specific categorical label or classification name.
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6440b47508190a8a33325b00841dc |
completed | April 20, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69e530438c60819082364c7be3eef6f0 |
completed | April 19, 2026, 7:42 p.m. |
Created at: April 10, 2026, 1:46 p.m.