Triple
T8112029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniil Granin |
E189377
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Kirov Plant |
E419770
|
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: Kirov Plant | Statement: [Daniil Granin, employer, Kirov Plant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kirov Plant Context triple: [Daniil Granin, employer, Kirov Plant]
-
A.
Kovrov Mechanical Plant
Kovrov Mechanical Plant is a Russian arms manufacturer historically known for producing notable Soviet small arms, including the SVT-40 semi-automatic rifle.
-
B.
Kirov Factory
chosen
Kirov Factory is a historic Russian heavy machinery and defense plant best known for producing Soviet tanks and other armored vehicles.
-
C.
Uralvagonzavod plant
The Uralvagonzavod plant is a major Russian industrial complex and one of the world’s largest manufacturers of tanks and railway rolling stock.
-
D.
Mytishchi Machine-Building Plant
Mytishchi Machine-Building Plant is a major Russian industrial enterprise known for producing railway rolling stock and military vehicles.
-
E.
Ulyanovsk Mechanical Plant
Ulyanovsk Mechanical Plant is a Russian defense enterprise known for producing advanced air defense systems and other military equipment.
- 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_69ca82baad008190ab2859712b9b1607 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb432bcb648190b5ddbcc2a3dbc9b1 |
completed | March 31, 2026, 3:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc942a9af881908b7ddc724755893e |
completed | April 1, 2026, 3:42 a.m. |
Created at: March 30, 2026, 5:32 p.m.