Triple
T10497683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uralvagonzavod |
E247580
|
entity |
| Predicate | hasRussianName |
P20560
|
FINISHED |
| Object | Уралвагонзавод |
E247580
|
NE 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: Уралвагонзавод | Statement: [Uralvagonzavod, hasRussianName, Уралвагонзавод]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Уралвагонзавод Context triple: [Uralvagonzavod, hasRussianName, Уралвагонзавод]
-
A.
Uralvagonzavod plant
chosen
The Uralvagonzavod plant is a major Russian industrial complex and one of the world’s largest manufacturers of tanks and railway rolling stock.
-
B.
Uralmash Sverdlovsk
Uralmash Sverdlovsk was the Soviet-era name of the professional football club now known as FC Ural Yekaterinburg, based in Yekaterinburg, Russia.
-
C.
Ulyanovsk Mechanical Plant
Ulyanovsk Mechanical Plant is a Russian defense enterprise known for producing advanced air defense systems and other military equipment.
-
D.
Izhevsk Mechanical Plant
Izhevsk Mechanical Plant is a major Russian arms manufacturer known for producing a wide range of firearms and military equipment.
-
E.
Ural Automotive Plant
Ural Automotive Plant is a Russian manufacturer best known for producing heavy-duty off-road trucks and military vehicles.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5098d8ac481909c4adedbc4ad1c03 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d933d4b63081909ad297038fb74bed |
completed | April 10, 2026, 5:31 p.m. |
Created at: April 6, 2026, 12:25 p.m.