Triple
T2229354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Class A airspace |
E48727
|
entity |
| Predicate | chartDepiction |
P36368
|
FINISHED |
| Object | not specifically depicted as Class A on VFR sectional charts |
—
|
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: not specifically depicted as Class A on VFR sectional charts | Statement: [Class A airspace, chartDepiction, not specifically depicted as Class A on VFR sectional charts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chartDepiction Context triple: [Class A airspace, chartDepiction, not specifically depicted as Class A on VFR sectional charts]
-
A.
chartType
Indicates the specific kind or category of chart used to visually represent data in a given context.
-
B.
chartName
Indicates the specific title or label assigned to a chart that identifies or describes it.
-
C.
visualizationLibrary
Indicates that an entity uses, depends on, or is implemented with a particular visualization library for rendering or displaying visual data.
-
D.
typeOfChart
Indicates the specific kind or category of chart used to represent data in a visualization.
-
E.
plotElement
Indicates that one entity functions as a narrative component or structural element within the storyline of another entity (such as a work of fiction or media).
- 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_69a88aa51b388190949868ec9766e587 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0685b688190857a76c1043f4b92 |
completed | March 7, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69abbdadbb0c8190b3a1ede31b8acbfa |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbe4252688190944491a450383450 |
completed | March 7, 2026, 5:57 a.m. |
Created at: March 4, 2026, 7:47 p.m.