Triple
T22971219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beagle |
E571190
|
entity |
| Predicate | subjectAircraftMaximumSpeedClass |
P106236
|
FINISHED |
| Object | subsonic |
—
|
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 | Statement: [Beagle, subjectAircraftMaximumSpeedClass, subsonic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectAircraftMaximumSpeedClass Context triple: [Beagle, subjectAircraftMaximumSpeedClass, subsonic]
-
A.
aircraftSpeedClass
chosen
Indicates the categorical speed range or performance class to which an aircraft’s speed belongs.
-
B.
supercruiseSpeed
Indicates the speed at which an aircraft or vehicle can sustain supersonic flight without using afterburners or additional boost.
-
C.
aircraftType
Indicates the specific model or category of aircraft associated with an entity or event.
-
D.
poweredAircraftType
Indicates that one entity is a type or category of aircraft that is propelled by an onboard power source (e.g., engines), as opposed to being unpowered.
-
E.
aircraftStrengthPeak
Indicates the maximum strength or capability level that an aircraft reaches during its operational performance.
- 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_69e245b2c6548190a0e4c7f2f7df2d48 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1823370fc819084a13d6e4eb6e44e |
completed | April 29, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9101f48190a06c69dff26c6441 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:48 p.m.