Triple
T201348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ames Research Center 80-by-120-Foot Wind Tunnel |
E4510
|
entity |
| Predicate | scaleOfModels |
P2006
|
FINISHED |
| Object | full-scale |
—
|
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: full-scale | Statement: [Ames Research Center 80-by-120-Foot Wind Tunnel, scaleOfModels, full-scale]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scaleOfModels Context triple: [Ames Research Center 80-by-120-Foot Wind Tunnel, scaleOfModels, full-scale]
-
A.
isMilitaryVariantOf
Indicates that one entity is a military-specific version or adaptation of another, typically civilian or general-purpose, entity.
-
B.
model
chosen
Indicates that one entity serves as a representation, example, or simulation of another entity or concept.
-
C.
magnitudeScale
Indicates the scale or measurement system used to quantify the magnitude or intensity of something.
-
D.
commonAircraftFamily
Indicates that two aircraft belong to the same aircraft family or series, sharing a common design lineage.
-
E.
aircraftTypesCarried
Indicates that one entity (typically a vessel, facility, or platform) carries or is capable of carrying specific types of aircraft as part of its operations or configuration.
- 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_69a25737567c81908f9c505300239181 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c2ead8481909996042efcae5e9d |
completed | Feb. 28, 2026, 3:08 a.m. |
| PD | Predicate disambiguation | batch_69a25b4a0d448190a6fa6aeb30dc7e13 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:51 a.m.