Triple
T12745788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Babur cruise missile |
E304599
|
entity |
| Predicate | flightSpeedCategory |
P9902
|
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: [Babur cruise missile, flightSpeedCategory, subsonic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flightSpeedCategory Context triple: [Babur cruise missile, flightSpeedCategory, subsonic]
-
A.
aircraftSpeedClass
Indicates the categorical speed range or performance class to which an aircraft’s speed belongs.
-
B.
speedClass
chosen
Indicates the categorical speed level or range assigned to an entity based on how fast it moves or operates.
-
C.
aircraftWakeTurbulenceCategory
Indicates the classification of an aircraft based on the strength of the wake turbulence it generates, typically used for separation and safety in air traffic control.
-
D.
typicalAircraftTypeCategory
Indicates the general class or category of aircraft type that is most commonly associated with or used in a given context.
-
E.
aircraftRangeCategory
Indicates the classification of an aircraft based on the distance it is capable of flying on a typical mission or with standard fuel capacity.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96406e97c8190b79081039847115c |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:26 p.m.