Triple
T19700034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VDV |
E473065
|
entity |
| Predicate | typicalHelicopterSupport |
P34747
|
FINISHED |
| Object | Mi-24 helicopters |
—
|
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-24 helicopters | Statement: [VDV, typicalHelicopterSupport, Mi-24 helicopters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mi-24 helicopters Context triple: [VDV, typicalHelicopterSupport, Mi-24 helicopters]
-
A.
Mi-24
chosen
The Mi-24 is a Soviet-designed attack helicopter and low-capacity troop transport, widely used for close air support and battlefield assault missions.
-
B.
Mil Mi-28
The Mil Mi-28 is a Russian all-weather, day-night attack helicopter developed as a dedicated anti-armor platform comparable to the American AH-64 Apache.
-
C.
Mil Mi-34
The Mil Mi-34 is a light, piston-engined Russian helicopter used primarily for training, sport flying, and utility roles.
-
D.
Mi-17
The Mi-17 is a Russian-designed, medium-lift military transport helicopter widely used for troop transport, cargo missions, and search-and-rescue operations.
-
E.
Kamov Ka-28 helicopters
Kamov Ka-28 helicopters are Russian-made, shipborne anti-submarine warfare helicopters widely used for maritime patrol and submarine detection.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642b4e01081908f857f219d5d7a24 |
completed | April 20, 2026, 3:13 p.m. |
Created at: April 10, 2026, 1:46 p.m.