Triple
T1721108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volgograd Oblast |
E37391
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Kamyshin
Kamyshin is a significant industrial and river port city on the Volga River in southwestern Russia.
|
E237038
|
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: Kamyshin | Statement: [Volgograd Oblast, hasMajorCity, Kamyshin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamyshin Context triple: [Volgograd Oblast, hasMajorCity, Kamyshin]
-
A.
Stavropol Upland
Stavropol Upland is a hilly elevated region in southwestern Russia known for its fertile soils and significant role in the agriculture and landscape of Stavropol Krai.
-
B.
Kirovsk
Kirovsk is an industrial town in Russia’s Murmansk Oblast, known for its mining industry and location in the Khibiny Mountains on the Kola Peninsula.
-
C.
Voronezh
Voronezh is a major city in southwestern Russia, situated on the Voronezh River and serving as an important cultural, industrial, and transportation center.
-
D.
Ulyanov
Ulyanov is the Russian surname of Vladimir Lenin, the revolutionary leader and founder of the Soviet state.
-
E.
Novocherkassk
Novocherkassk is a historic city in Russia’s Rostov Oblast that served as a key Cossack and military administrative center.
- 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: Kamyshin Triple: [Volgograd Oblast, hasMajorCity, Kamyshin]
Generated description
Kamyshin is a significant industrial and river port city on the Volga River in southwestern Russia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kamyshin Target entity description: Kamyshin is a significant industrial and river port city on the Volga River in southwestern Russia.
-
A.
Stavropol Upland
Stavropol Upland is a hilly elevated region in southwestern Russia known for its fertile soils and significant role in the agriculture and landscape of Stavropol Krai.
-
B.
Kirovsk
Kirovsk is an industrial town in Russia’s Murmansk Oblast, known for its mining industry and location in the Khibiny Mountains on the Kola Peninsula.
-
C.
Voronezh
Voronezh is a major city in southwestern Russia, situated on the Voronezh River and serving as an important cultural, industrial, and transportation center.
-
D.
Ulyanov
Ulyanov is the Russian surname of Vladimir Lenin, the revolutionary leader and founder of the Soviet state.
-
E.
Novocherkassk
Novocherkassk is a historic city in Russia’s Rostov Oblast that served as a key Cossack and military administrative center.
- 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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa63558d7c8190830cb8ee2e4a8932 |
completed | March 6, 2026, 5:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae516742dc81909915c49b12645c26 |
completed | March 9, 2026, 4:49 a.m. |
| NEDg | Description generation | batch_69ae524946f881908452e7f414962e70 |
completed | March 9, 2026, 4:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae529f2e508190b7483b70c9dbf9f9 |
completed | March 9, 2026, 4:54 a.m. |
Created at: March 4, 2026, 7:30 p.m.