Triple
T22040710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rossiya Special Flight Detachment |
E544629
|
entity |
| Predicate | operatesAircraftFor |
P146366
|
FINISHED |
| Object | Russian presidential aircraft |
—
|
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: Russian presidential aircraft | Statement: [Rossiya Special Flight Detachment, operatesAircraftFor, Russian presidential aircraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesAircraftFor Context triple: [Rossiya Special Flight Detachment, operatesAircraftFor, Russian presidential aircraft]
-
A.
operatesAircraftBrand
Indicates that an entity actively uses or runs aircraft belonging to a specified brand in its operations.
-
B.
aircraftTypesOperated
Indicates the types or models of aircraft that an entity (such as an airline or operator) uses or operates.
-
C.
aircraftRoleOperated
Indicates that an entity operates or has operated in a specified role or function within the context of aircraft operations.
-
D.
poweredAircraftRole
Indicates the functional role or purpose assigned to a powered (engine-driven) aircraft within an operation or context.
-
E.
operatesUnderAirOperatorCertificateOf
Indicates that one entity conducts its aviation operations under the authority, terms, and oversight of another entity’s air operator certificate.
- 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12828fc788190a22c0e9c2372656b |
completed | April 28, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69e6f63b0d048190b241622759aab9de |
completed | April 21, 2026, 3:59 a.m. |
| PDg | Predicate description generation | batch_69e6fad4a540819096cdd5ea08527220 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 8:25 p.m.