Triple
T383858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States airspace |
E8736
|
entity |
| Predicate | verticalExtent |
P10733
|
FINISHED |
| Object | from surface to Flight Level 600 in Class A airspace |
—
|
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: from surface to Flight Level 600 in Class A airspace | Statement: [United States airspace, verticalExtent, from surface to Flight Level 600 in Class A airspace]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: verticalExtent Context triple: [United States airspace, verticalExtent, from surface to Flight Level 600 in Class A airspace]
-
A.
maximumExtentFromBaseline
Indicates the greatest distance or deviation of something from a defined baseline reference.
-
B.
typicalHeight
Indicates the usual or characteristic height associated with an entity, such as a person, object, or species.
-
C.
width
Indicates the measurement of how wide an entity is, typically the extent of its horizontal dimension from side to side.
-
D.
currentHeight
Indicates the present vertical measurement or elevation of an entity at a given point in time.
-
E.
originalHeight
Indicates the initial or starting height of an entity before any change, adjustment, or transformation occurs.
- F. None of above. chosen
Provenance (4 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec422b808190b6ddf747ef939151 |
completed | Feb. 28, 2026, 1:23 p.m. |
| PD | Predicate disambiguation | batch_69a2e96602188190b0cbc167f55a9237 |
completed | Feb. 28, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69a2ea2dc3088190a2aeb4496aff3582 |
completed | Feb. 28, 2026, 1:14 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.