Triple
T16415707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ulyanovsk |
E398677
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Simbirsk |
—
|
NE NERFINISHED |
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: Simbirsk | Statement: [Ulyanovsk, formerName, Simbirsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simbirsk Context triple: [Ulyanovsk, formerName, Simbirsk]
-
A.
Simbirsk
chosen
Simbirsk is a historic Russian city on the Volga River, best known today as Ulyanovsk, the birthplace of Vladimir Lenin and other notable political figures.
-
B.
Nizhny Novgorod
Nizhny Novgorod is a major Russian city located at the confluence of the Volga and Oka rivers, known for its historic Kremlin, industrial significance, and role as a key cultural and economic center in the Volga region.
-
C.
Izhevsk
Izhevsk is a major industrial city in western Russia, best known as a center of arms manufacturing and the capital of the Udmurt Republic.
-
D.
Sverdlovsk
Sverdlovsk is the former name of Yekaterinburg, a major industrial and cultural city in Russia’s Ural region.
-
E.
Penza
Penza is a city in western Russia known as a regional cultural and industrial center.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e3287741008190856882b7f34024fc |
completed | April 18, 2026, 6:45 a.m. |
Created at: April 10, 2026, 5:09 a.m.