Triple
T2251051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Class C airspace |
E49616
|
entity |
| Predicate | outerAreaRadius |
P20822
|
FINISHED |
| Object | typically 20 nautical miles |
—
|
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: typically 20 nautical miles | Statement: [Class C airspace, outerAreaRadius, typically 20 nautical miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outerAreaRadius Context triple: [Class C airspace, outerAreaRadius, typically 20 nautical miles]
-
A.
ringRadius
chosen
Indicates the size of a ring by specifying the distance from its center to its outer edge.
-
B.
approximateRadius
Indicates that one entity specifies or provides an estimated value for the radius of another entity.
-
C.
venueArea
Indicates the physical size or spatial extent of a venue, typically measured in units such as square meters or square feet.
-
D.
representedArea
Indicates that one entity serves as a representation or depiction of a particular area or region.
-
E.
baseCircumference
Indicates the circumference measurement of the base of an object or geometric figure.
- 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_69a88aaa9250819095e127d0d77e8a32 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc11d04688190abc04fac3a1804a9 |
completed | March 7, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_69abbdb160248190aa75b38f11ad8602 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:47 p.m.