Triple
T19096445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenya Air Force |
E467417
|
entity |
| Predicate | aircraft |
P2541
|
FINISHED |
| Object | Mi-171 |
—
|
NE NERFINISHED |
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: Mi-171 | Statement: [Kenya Air Force, aircraft, Mi-171]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mi-171 Context triple: [Kenya Air Force, aircraft, Mi-171]
-
A.
Mi-17
chosen
The Mi-17 is a Russian-designed, medium-lift military transport helicopter widely used for troop transport, cargo missions, and search-and-rescue operations.
-
B.
Mi-8
The Mi-8 is a Soviet-designed twin-turbine transport helicopter widely used around the world for both military and civilian roles.
-
C.
Mil Mi-14
The Mil Mi-14 is a Soviet amphibious anti-submarine and search-and-rescue helicopter developed from the Mi-8 and used primarily by naval aviation forces.
-
D.
Mi-22
The Mi-22 is a lesser-known variant of the Soviet Mil Mi-6 heavy transport helicopter, adapted for specialized roles beyond the standard cargo configuration.
-
E.
Mil Mi-10
The Mil Mi-10 is a Soviet heavy-lift transport helicopter, derived from the Mi-6, notable for its long, spindly landing gear and ability to carry large external loads such as vehicles and prefabricated structures.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e369aeac81908913c21f4c234c8e |
completed | April 20, 2026, 8:27 a.m. |
Created at: April 10, 2026, 12:04 p.m.