Triple

T6211804
Position Surface form Disambiguated ID Type / Status
Subject Rostov Oblast E138886 entity
Predicate hasCity P316 FINISHED
Object Kamyensk-Shakhtinsky
Kamyensk-Shakhtinsky is a city in southwestern Russia known as an industrial and transport center within Rostov Oblast.
 E628275 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: Kamyensk-Shakhtinsky | Statement: [Rostov Oblast, hasCity, Kamyensk-Shakhtinsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kamyensk-Shakhtinsky
Context triple: [Rostov Oblast, hasCity, Kamyensk-Shakhtinsky]
  • A. 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.
  • B. Kirovsk
    Kirovsk is a small industrial town in northwestern Russia, situated near Saint Petersburg along the Neva River.
  • C. Kamyshin
    Kamyshin is a significant industrial and river port city on the Volga River in southwestern Russia.
  • D. Chapaevsk
    Chapaevsk is an industrial city in southwestern Russia known for its chemical industry and location within Samara Oblast along the Volga River region.
  • E. Novokuybyshevsk
    Novokuybyshevsk is an industrial city in Samara Oblast, Russia, known for its major oil refining and petrochemical industries.
  • 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: Kamyensk-Shakhtinsky
Triple: [Rostov Oblast, hasCity, Kamyensk-Shakhtinsky]
Generated description
Kamyensk-Shakhtinsky is a city in southwestern Russia known as an industrial and transport center within Rostov Oblast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kamyensk-Shakhtinsky
Target entity description: Kamyensk-Shakhtinsky is a city in southwestern Russia known as an industrial and transport center within Rostov Oblast.
  • A. 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.
  • B. Kirovsk
    Kirovsk is a small industrial town in northwestern Russia, situated near Saint Petersburg along the Neva River.
  • C. Kamyshin
    Kamyshin is a significant industrial and river port city on the Volga River in southwestern Russia.
  • D. Chapaevsk
    Chapaevsk is an industrial city in southwestern Russia known for its chemical industry and location within Samara Oblast along the Volga River region.
  • E. Novokuybyshevsk
    Novokuybyshevsk is an industrial city in Samara Oblast, Russia, known for its major oil refining and petrochemical industries.
  • 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_69c008ada364819096c9e92c74d639b5 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0628adccc8190b94f5c2c1d5d03f7 completed March 22, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c750fd986c819099dcf429008e8cdf completed March 28, 2026, 3:54 a.m.
NEDg Description generation batch_69c751cf1ad081909052e68b8eb96889 completed March 28, 2026, 3:58 a.m.
NED2 Entity disambiguation (via description) batch_69c7524fd1988190b82ed3a6c5f338a5 completed March 28, 2026, 4 a.m.
Created at: March 22, 2026, 4:21 p.m.