Triple
T36050878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AEDC |
E1042803
|
entity |
| Predicate | hasWindTunnelType |
P184513
|
FINISHED |
| Object | subsonic wind tunnel |
—
|
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: subsonic wind tunnel | Statement: [AEDC, hasWindTunnelType, subsonic wind tunnel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWindTunnelType Context triple: [AEDC, hasWindTunnelType, subsonic wind tunnel]
-
A.
usesWindTunnelOf
Indicates that one entity makes use of another entity’s wind tunnel facility for testing, experimentation, or related aerodynamic activities.
-
B.
conductedWindTunnelTests
Indicates that wind tunnel experiments or evaluations were performed on an object, design, or system.
-
C.
hasWingletType
Indicates the specific type or design of winglet associated with an aircraft wing or similar aerodynamic surface.
-
D.
hasWinglets
Indicates that an object, typically an aircraft wing, is equipped with winglets as part of its design or structure.
-
E.
hasRunwayType
Indicates that an airport or airfield has a runway of a specified type or surface classification.
- 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_69f76e2e41f8819091f9fb0536920fec |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b35e32d481909ef0220e6f6ff4a8 |
completed | May 3, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bad2e88190963ab4ee5d4f2038 |
completed | May 3, 2026, 8:36 p.m. |
| PDg | Predicate description generation | batch_69f7b2c66054819083897e25edb65ba7 |
completed | May 3, 2026, 8:40 p.m. |
Created at: May 3, 2026, 4:07 p.m.