Triple
T1721107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volgograd Oblast |
E37391
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Volzhsky
Volzhsky is a major industrial city in southwestern Russia located across the Volga River from Volgograd.
|
E206337
|
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: Volzhsky | Statement: [Volgograd Oblast, hasMajorCity, Volzhsky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Volzhsky Context triple: [Volgograd Oblast, hasMajorCity, Volzhsky]
-
A.
Vyatskoye
Vyatskoye is a rural locality in Russia’s Khabarovsk Krai, historically noted as the birthplace of North Korean leader Kim Jong Il.
-
B.
Verkhnyaya Troitsa
Verkhnyaya Troitsa is a rural locality in Russia best known as the birthplace of Soviet statesman and longtime nominal head of state Mikhail Kalinin.
-
C.
Kholmogory
Kholmogory is a historic Russian town in the Arkhangelsk region that served as an important early northern trading and administrative center.
-
D.
Kostroma
Kostroma is a historic Russian city northeast of Moscow, known as part of the Golden Ring and for its well-preserved medieval architecture and monasteries.
-
E.
Volkhov
Volkhov is a town in Leningrad Oblast, Russia, situated along the Volkhov River and known for its hydroelectric power station and industrial significance.
- 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: Volzhsky Triple: [Volgograd Oblast, hasMajorCity, Volzhsky]
Generated description
Volzhsky is a major industrial city in southwestern Russia located across the Volga River from Volgograd.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Volzhsky Target entity description: Volzhsky is a major industrial city in southwestern Russia located across the Volga River from Volgograd.
-
A.
Vyatskoye
Vyatskoye is a rural locality in Russia’s Khabarovsk Krai, historically noted as the birthplace of North Korean leader Kim Jong Il.
-
B.
Verkhnyaya Troitsa
Verkhnyaya Troitsa is a rural locality in Russia best known as the birthplace of Soviet statesman and longtime nominal head of state Mikhail Kalinin.
-
C.
Kholmogory
Kholmogory is a historic Russian town in the Arkhangelsk region that served as an important early northern trading and administrative center.
-
D.
Kostroma
Kostroma is a historic Russian city northeast of Moscow, known as part of the Golden Ring and for its well-preserved medieval architecture and monasteries.
-
E.
Volkhov
Volkhov is a town in Leningrad Oblast, Russia, situated along the Volkhov River and known for its hydroelectric power station and industrial significance.
- 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_69adc9974b9c819081e9513ae2a0883b |
completed | March 8, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69adccc396f881908c4e45105a1bfff1 |
completed | March 8, 2026, 7:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adcd3da95081908e676063bf650664 |
completed | March 8, 2026, 7:25 p.m. |
Created at: March 4, 2026, 7:30 p.m.