Triple
T17295549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chelyabinsk Oblast |
E419900
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Ozersk
Ozersk is a closed Russian city in Chelyabinsk Oblast known for its nuclear industry and association with the Mayak production facility.
|
E1262771
|
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: Ozersk | Statement: [Chelyabinsk Oblast, hasCity, Ozersk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ozersk Context triple: [Chelyabinsk Oblast, hasCity, Ozersk]
-
A.
Ozerki
Ozerki is a locality in Russia historically noted as the site where the revolutionary priest Georgy Gapon was killed.
-
B.
Otradnoye
Otradnoye is a town in Russia located within the Leningrad (Saint Petersburg) region, known for its position along the Neva River and proximity to Saint Petersburg.
-
C.
Otradnoye
Otradnoye is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Otradnoye District in northern Moscow.
-
D.
Krasnoturyinsk
Krasnoturyinsk is an industrial town in Russia’s Ural region known for its mining and metallurgical industries.
-
E.
Zhukovka
Zhukovka is a rural locality in Moscow Oblast, Russia, situated within the Odintsovsky District and known primarily as a residential settlement near Moscow.
- 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: Ozersk Triple: [Chelyabinsk Oblast, hasCity, Ozersk]
Generated description
Ozersk is a closed Russian city in Chelyabinsk Oblast known for its nuclear industry and association with the Mayak production facility.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ozersk Target entity description: Ozersk is a closed Russian city in Chelyabinsk Oblast known for its nuclear industry and association with the Mayak production facility.
-
A.
Ozerki
Ozerki is a locality in Russia historically noted as the site where the revolutionary priest Georgy Gapon was killed.
-
B.
Otradnoye
Otradnoye is a town in Russia located within the Leningrad (Saint Petersburg) region, known for its position along the Neva River and proximity to Saint Petersburg.
-
C.
Otradnoye
Otradnoye is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Otradnoye District in northern Moscow.
-
D.
Krasnoturyinsk
Krasnoturyinsk is an industrial town in Russia’s Ural region known for its mining and metallurgical industries.
-
E.
Zhukovka
Zhukovka is a rural locality in Moscow Oblast, Russia, situated within the Odintsovsky District and known primarily as a residential settlement near Moscow.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e437875b208190bcf0df2ded546257 |
completed | April 19, 2026, 2:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c407fe8819095b16b171f29cf1b |
completed | May 11, 2026, 7:58 a.m. |
| NEDg | Description generation | batch_6a018cf93d44819083defe64923320d5 |
completed | May 11, 2026, 8:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a018e958cf08190b265c8a3bfd44512 |
completed | May 11, 2026, 8:08 a.m. |
Created at: April 10, 2026, 5:40 a.m.