Triple
T7217148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erzya language |
E149564
|
entity |
| Predicate | spokenIn |
P2266
|
FINISHED |
| Object | Penza Oblast |
E577191
|
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: Penza Oblast | Statement: [Erzya language, spokenIn, Penza Oblast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Penza Oblast Context triple: [Erzya language, spokenIn, Penza Oblast]
-
A.
Penza Oblast
chosen
Penza Oblast is a federal subject of central Russia known for its agricultural economy, mixed forests, and role as a regional industrial and cultural center.
-
B.
Penza Governorate
Penza Governorate was an administrative division of the Russian Empire and early Russian SFSR, centered on the city of Penza in the Volga region.
-
C.
Kostroma Oblast
Kostroma Oblast is a federal subject in central Russia known for its historic towns and forests, situated along the middle reaches of the Volga River.
-
D.
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.
-
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_69c687eca814819095abb52316b1af80 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e99000dc81908ef4b70729cc00b0 |
completed | March 27, 2026, 8:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e712b2ff1081908ccf311e1133ab72 |
completed | April 21, 2026, 6:01 a.m. |
Created at: March 27, 2026, 2:53 p.m.