Triple
T5638461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taras Bulba |
E124205
|
entity |
| Predicate | includedIn |
P1393
|
FINISHED |
| Object | Mirgorod |
E154650
|
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: Mirgorod | Statement: [Taras Bulba, includedIn, Mirgorod]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mirgorod Context triple: [Taras Bulba, includedIn, Mirgorod]
-
A.
Mirgorod
chosen
Mirgorod is a collection of short stories by Russian-Ukrainian writer Nikolai Gogol, known for its blend of folklore, satire, and psychological insight into provincial life.
-
B.
Ivangorod
Ivangorod is a Russian border town on the Narva River, known for its medieval fortress facing the Estonian city of Narva.
-
C.
Odintsovo
Odintsovo is a town in western Russia that serves as an important suburban center just outside Moscow.
-
D.
Feodorovsky Gorodok
Feodorovsky Gorodok is a historic architectural complex in Pushkin, Russia, built in a neo-Russian style as a residence and military settlement associated with the last Russian imperial family.
-
E.
Krasnaya Sloboda
Krasnaya Sloboda is a historic all-Jewish settlement in northern Azerbaijan, known as one of the world's only exclusively Mountain Jewish towns.
- 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_69c00824643c81909ffdb888a2d35189 |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c02283bb248190b29ac6255c78c5ec |
completed | March 22, 2026, 5:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c097d395fc8190be9020d1fdbc9936 |
completed | March 23, 2026, 1:30 a.m. |
Created at: March 22, 2026, 3:41 p.m.