Triple
T11388903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kastornoye |
E269781
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Kursk Oblast |
E451366
|
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: Kursk Oblast | Statement: [Kastornoye, locatedIn, Kursk Oblast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kursk Oblast Context triple: [Kastornoye, locatedIn, Kursk Oblast]
-
A.
Kursk Oblast
chosen
Kursk Oblast is a federal subject of western Russia known for its agricultural production, iron ore deposits, and the historic World War II Battle of Kursk.
-
B.
Kursk Governorate
Kursk Governorate was an administrative division of the Russian Empire located in western Russia, centered around the city of Kursk.
-
C.
Vladimir Oblast
Vladimir Oblast is a federal subject of central Russia known for its historic cities, including Vladimir and Suzdal, which are part of the Golden Ring.
-
D.
Kirov Oblast
Kirov Oblast is a federal subject of Russia located in the Volga-Vyatka region, known for its extensive forests, agricultural activities, and the administrative center city of Kirov.
-
E.
Voronezh Oblast
Voronezh Oblast is a federal subject of Russia in the country’s southwest, known for its administrative center Voronezh and its role as an important agricultural and industrial region.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7fc389d4c81909515a5c8b0099c36 |
completed | April 9, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c28d1e1c81909e869f01659ec233 |
completed | May 10, 2026, 5:38 p.m. |
Created at: April 8, 2026, 9:34 p.m.