Triple
T5316534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kolomna |
E119163
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Moscow Oblast |
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: Moscow Oblast | Statement: [Kolomna, locatedIn, Moscow Oblast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moscow Oblast Context triple: [Kolomna, locatedIn, Moscow Oblast]
-
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.
Ryazan Oblast
Ryazan Oblast is a federal subject of central Russia known for its historic cities, agricultural landscapes, and location along the Oka River southeast of Moscow.
-
C.
Nizhny Novgorod Oblast
Nizhny Novgorod Oblast is a federal subject of central Russia known for its major industrial centers, historical cities, and strategic location along the Volga River.
-
D.
Kaluga Oblast
Kaluga Oblast is a federal subject of western Russia known for its historical cities, space industry heritage, and location southwest of Moscow.
-
E.
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.
- 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_69bd446b57bc8190a513d2e6c40314f3 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd854fd07c8190b4f1c3c8e618c308 |
completed | March 20, 2026, 5:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9c2dc39fc8190ae244a4077808e17 |
completed | March 30, 2026, 12:25 a.m. |
Created at: March 20, 2026, 1:54 p.m.