Triple
T4504061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lastochka |
E101289
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object | Ural Locomotives |
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: Ural Locomotives | Statement: [Lastochka, manufacturer, Ural Locomotives]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ural Locomotives Context triple: [Lastochka, manufacturer, Ural Locomotives]
-
A.
Izhevsk Mechanical Plant
Izhevsk Mechanical Plant is a major Russian arms manufacturer known for producing a wide range of firearms and military equipment.
-
B.
Kharkiv Locomotive Factory
The Kharkiv Locomotive Factory is a major Soviet-era industrial plant in Kharkiv, Ukraine, renowned for designing and producing the iconic T-34 medium tank during World War II.
-
C.
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.
-
D.
NPO Energomash
NPO Energomash is a leading Russian rocket engine design and manufacturing company renowned for producing powerful liquid-fueled engines used in launch vehicles worldwide.
-
E.
Metrovagonmash
Metrovagonmash is a major Russian manufacturer of metro, tram, and rail rolling stock, best known for producing trains for urban transit systems across Russia and other countries.
- 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_69bd43d175248190894dc58b5b395c26 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56fca7d4819081deb34628e04f00 |
completed | March 20, 2026, 2:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd6f958de0819082d17c165d25e703 |
completed | March 20, 2026, 4:02 p.m. |
Created at: March 20, 2026, 1:01 p.m.