Triple
T11459566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yoshkar-Ola |
E271616
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
Tsaryovokokshaysk
Tsaryovokokshaysk is the former name of the city now known as Yoshkar-Ola, the capital of the Mari El Republic in Russia.
|
E926817
|
NE FINISHED |
How this triple was built (4 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: Tsaryovokokshaysk | Statement: [Yoshkar-Ola, formerName, Tsaryovokokshaysk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tsaryovokokshaysk Context triple: [Yoshkar-Ola, formerName, Tsaryovokokshaysk]
-
A.
Terekhovo
Terekhovo is a metro station on Moscow’s Big Circle Line, serving the Terekhovo area in the western part of the city.
-
B.
Krasnoturyinsk
Krasnoturyinsk is an industrial town in Russia’s Ural region known for its mining and metallurgical industries.
-
C.
Kapustin Yar
Kapustin Yar is a Russian military rocket launch and development site historically used for early Soviet missile and space tests.
-
D.
Karamyshevskaya
Karamyshevskaya is a metro station on Moscow’s Big Circle Line, serving the Khoroshyovo-Mnyovniki area of the city.
-
E.
Gorokhovets
Gorokhovets is a historic town in Vladimir Oblast, Russia, known for its well-preserved merchant architecture and scenic location amid the forests and hills of central Russia.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tsaryovokokshaysk Triple: [Yoshkar-Ola, formerName, Tsaryovokokshaysk]
Generated description
Tsaryovokokshaysk is the former name of the city now known as Yoshkar-Ola, the capital of the Mari El Republic in Russia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tsaryovokokshaysk Target entity description: Tsaryovokokshaysk is the former name of the city now known as Yoshkar-Ola, the capital of the Mari El Republic in Russia.
-
A.
Terekhovo
Terekhovo is a metro station on Moscow’s Big Circle Line, serving the Terekhovo area in the western part of the city.
-
B.
Krasnoturyinsk
Krasnoturyinsk is an industrial town in Russia’s Ural region known for its mining and metallurgical industries.
-
C.
Kapustin Yar
Kapustin Yar is a Russian military rocket launch and development site historically used for early Soviet missile and space tests.
-
D.
Karamyshevskaya
Karamyshevskaya is a metro station on Moscow’s Big Circle Line, serving the Khoroshyovo-Mnyovniki area of the city.
-
E.
Gorokhovets
Gorokhovets is a historic town in Vladimir Oblast, Russia, known for its well-preserved merchant architecture and scenic location amid the forests and hills of central Russia.
- F. None of above. chosen
Provenance (5 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f2138081909408c7916cef99c9 |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e911c03c819081f1447b320dd2f2 |
completed | April 20, 2026, 8:51 a.m. |
| NEDg | Description generation | batch_69e5eeb38d588190b51b6c299bb717dd |
completed | April 20, 2026, 9:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5f19dd3348190b037e09c87b528e9 |
completed | April 20, 2026, 9:27 a.m. |
Created at: April 8, 2026, 9:35 p.m.