Triple
T16452700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Izhevsk Mechanical Plant |
E399592
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Izhmekh
Izhmekh is a major Russian arms manufacturer best known for producing Makarov pistols and other small arms in Izhevsk.
|
E1213034
|
NE FINISHED |
How this triple was built (4 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: Izhmekh | Statement: [Izhevsk Mechanical Plant, alsoKnownAs, Izhmekh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Izhmekh Context triple: [Izhevsk Mechanical Plant, alsoKnownAs, Izhmekh]
-
A.
Kurskaya
Kurskaya is a Moscow Metro station on the Koltsevaya (Circle) Line, serving as a major transfer hub in the city’s rapid transit network.
-
B.
Amursk
Amursk is a small industrial town in Russia’s Far East, situated on the Amur River and known for its timber and pulp-and-paper industries.
-
C.
Sverdlov
Sverdlov is a Russian surname most notably associated with Yakov Sverdlov, a prominent Bolshevik leader during the early Soviet period.
-
D.
Fedorovskoye
Fedorovskoye is a rural locality in Russia situated within the Tosnensky District of Leningrad Oblast.
-
E.
Khovrino
Khovrino is a Moscow Metro station serving as the northern terminus of the Zamoskvoretskaya Line.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Izhmekh Triple: [Izhevsk Mechanical Plant, alsoKnownAs, Izhmekh]
Generated description
Izhmekh is a major Russian arms manufacturer best known for producing Makarov pistols and other small arms in Izhevsk.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Izhmekh Target entity description: Izhmekh is a major Russian arms manufacturer best known for producing Makarov pistols and other small arms in Izhevsk.
-
A.
Kurskaya
Kurskaya is a Moscow Metro station on the Koltsevaya (Circle) Line, serving as a major transfer hub in the city’s rapid transit network.
-
B.
Amursk
Amursk is a small industrial town in Russia’s Far East, situated on the Amur River and known for its timber and pulp-and-paper industries.
-
C.
Sverdlov
Sverdlov is a Russian surname most notably associated with Yakov Sverdlov, a prominent Bolshevik leader during the early Soviet period.
-
D.
Fedorovskoye
Fedorovskoye is a rural locality in Russia situated within the Tosnensky District of Leningrad Oblast.
-
E.
Khovrino
Khovrino is a Moscow Metro station serving as the northern terminus of the Zamoskvoretskaya Line.
- F. None of above. chosen
Provenance (5 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ce19344819083d323077b742bc3 |
completed | April 18, 2026, 7:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004598ec088190be80ad70e3f1357e |
completed | May 10, 2026, 8:45 a.m. |
| NEDg | Description generation | batch_6a00461390608190848c3b896042f1fd |
completed | May 10, 2026, 8:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0046a88e048190baa78506808171b8 |
completed | May 10, 2026, 8:49 a.m. |
Created at: April 10, 2026, 5:10 a.m.