Triple
T9101302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Горки |
E218161
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Подмосковье |
E13313
|
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: Подмосковье | Statement: [Горки, partOf, Подмосковье]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Подмосковье Context triple: [Горки, partOf, Подмосковье]
-
A.
Moscow Oblast
chosen
Moscow Oblast is a federal subject of Russia that surrounds, but does not include, the city of Moscow and serves as a major industrial and population center in western Russia.
-
B.
Moscow Governorate
Moscow Governorate was a major administrative division of the Russian Empire centered around Moscow, serving as a key political, economic, and cultural region.
-
C.
Tver Oblast
Tver Oblast is a federal subject of western Russia known for its forests, lakes, and historic towns, and for encompassing the headwaters of major rivers including the Volga.
-
D.
Smolensk Oblast
Smolensk Oblast is a federal subject of western Russia known for its historic city of Smolensk and its location along the route between Moscow and Belarus.
-
E.
Dolgoprudny
Dolgoprudny is a town in Moscow Oblast, Russia, known for hosting the Moscow Institute of Physics and Technology and forming part of the northern suburbs of Moscow.
- 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_69ca83d9844081908e561e367fda6d45 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc971435d08190b5007ed44ac0a364 |
completed | April 1, 2026, 3:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d030201a048190a3a1166d23c5ae67 |
completed | April 3, 2026, 9:24 p.m. |
Created at: March 30, 2026, 7:15 p.m.