Triple
T10875947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bashkir ASSR |
E256797
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Sterlitamak
Sterlitamak is a major industrial city in the Republic of Bashkortostan, Russia, known for its chemical and manufacturing industries.
|
E890202
|
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: Sterlitamak | Statement: [Bashkir ASSR, hasMajorCity, Sterlitamak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sterlitamak Context triple: [Bashkir ASSR, hasMajorCity, Sterlitamak]
-
A.
Kurilsk
Kurilsk is a small Russian town on Iturup Island in the Kuril archipelago, serving as an administrative and fishing center in the North Pacific.
-
B.
Sestroretsk
Sestroretsk is a town in northwestern Russia, now part of Saint Petersburg, historically known for its arms factory and seaside resort area on the Gulf of Finland.
-
C.
Degtyarsk
Degtyarsk is a small industrial town in Russia’s Sverdlovsk Oblast, historically known for its mining activities.
-
D.
Kireyevsk
Kireyevsk is a small industrial town in western Russia known for its coal-mining history and location within the Tula region.
-
E.
Shakhovskoye
Shakhovskoye is a rural locality in Russia known primarily as the birthplace of Soviet politician Mikhail Suslov.
- 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: Sterlitamak Triple: [Bashkir ASSR, hasMajorCity, Sterlitamak]
Generated description
Sterlitamak is a major industrial city in the Republic of Bashkortostan, Russia, known for its chemical and manufacturing industries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sterlitamak Target entity description: Sterlitamak is a major industrial city in the Republic of Bashkortostan, Russia, known for its chemical and manufacturing industries.
-
A.
Kurilsk
Kurilsk is a small Russian town on Iturup Island in the Kuril archipelago, serving as an administrative and fishing center in the North Pacific.
-
B.
Sestroretsk
Sestroretsk is a town in northwestern Russia, now part of Saint Petersburg, historically known for its arms factory and seaside resort area on the Gulf of Finland.
-
C.
Degtyarsk
Degtyarsk is a small industrial town in Russia’s Sverdlovsk Oblast, historically known for its mining activities.
-
D.
Kireyevsk
Kireyevsk is a small industrial town in western Russia known for its coal-mining history and location within the Tula region.
-
E.
Shakhovskoye
Shakhovskoye is a rural locality in Russia known primarily as the birthplace of Soviet politician Mikhail Suslov.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751ac901881909938cabe4d21bdbf |
completed | April 9, 2026, 7:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7ddafc48190824c133bb33b9efe |
completed | April 15, 2026, 8:41 p.m. |
| NEDg | Description generation | batch_69e0026fda3c8190b60174b252d57e12 |
completed | April 15, 2026, 9:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e00581fde08190b28b8dde4a21d59e |
completed | April 15, 2026, 9:39 p.m. |
Created at: April 8, 2026, 9:21 p.m.