Triple
T19811603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ka-52 |
E475959
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Ka-50 |
—
|
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: Ka-50 | Statement: [Ka-52, basedOn, Ka-50]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ka-50 Context triple: [Ka-52, basedOn, Ka-50]
-
A.
Kamov Ka-29
The Kamov Ka-29 is a Soviet/Russian shipborne assault and transport helicopter developed from the Ka-27, designed primarily for amphibious assault and troop support operations.
-
B.
Ka-52
chosen
The Ka-52 is a Russian all-weather, twin-seat attack helicopter known for its advanced avionics, heavy armament, and coaxial rotor system used for battlefield support and reconnaissance.
-
C.
Mi-24
The Mi-24 is a Soviet-designed attack helicopter and low-capacity troop transport, widely used for close air support and battlefield assault missions.
-
D.
Kamov Ka-25
The Kamov Ka-25 is a Soviet-era naval helicopter designed primarily for anti-submarine warfare operations from warships.
-
E.
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.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6542c9c5c81908772e88caa067e63 |
completed | April 20, 2026, 4:28 p.m. |
Created at: April 10, 2026, 1:50 p.m.