Triple
T4891125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tula Oblast |
E109563
|
entity |
| Predicate | bordersWith |
P224
|
FINISHED |
| Object | Kaluga Oblast |
E111628
|
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: Kaluga Oblast | Statement: [Tula Oblast, bordersWith, Kaluga Oblast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaluga Oblast Context triple: [Tula Oblast, bordersWith, Kaluga Oblast]
-
A.
Kaluga Oblast
chosen
Kaluga Oblast is a federal subject of western Russia known for its historical cities, space industry heritage, and location southwest of Moscow.
-
B.
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.
-
C.
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.
-
D.
Oryol Oblast
Oryol Oblast is a federal subject of western Russia known for its historic role as a major World War II battleground and its agricultural and industrial economy centered around the city of Oryol.
-
E.
Lipetsk Oblast
Lipetsk Oblast is a federal subject of western Russia known for its industrial centers, agricultural production, and administrative capital, the city of Lipetsk.
- 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_69bd440f71348190b99938e59fb7f9a1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e07ca10819083f80f12374544b1 |
completed | March 20, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d160f6855c81909ae0f3f1c041f600 |
completed | April 4, 2026, 7:05 p.m. |
Created at: March 20, 2026, 1:28 p.m.