Triple
T20097902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shimanovsky District |
E496452
|
entity |
| Predicate | hasCenter |
P35
|
FINISHED |
| Object | Shimanovsk |
—
|
NE NERFINISHED |
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: Shimanovsk | Statement: [Shimanovsky District, hasCenter, Shimanovsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shimanovsk Context triple: [Shimanovsky District, hasCenter, Shimanovsk]
-
A.
Shimanovsk
chosen
Shimanovsk is a small industrial town in Russia’s Far East, located in Amur Oblast and known historically as a railway hub on the Trans-Siberian Railway.
-
B.
Yukhnov
Yukhnov is a small historic town in western Russia known for its location on the Ugra River and its role in regional trade and World War II history.
-
C.
Shuisky
Shuisky is a scheming boyar and political intriguer in Alexander Pushkin’s historical drama and Modest Mussorgsky’s opera "Boris Godunov."
-
D.
Volnovakha
Volnovakha is a town in eastern Ukraine that serves as an important local administrative and transport hub within Donetsk Oblast.
-
E.
Ozersk
Ozersk is a closed Russian city in Chelyabinsk Oblast known for its nuclear industry and association with the Mayak production facility.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666d83448190b3ade3f5b855e820 |
completed | April 20, 2026, 5:46 p.m. |
Created at: April 11, 2026, 11:25 p.m.