Triple

T1766866
Position Surface form Disambiguated ID Type / Status
Subject Leningrad Oblast E38781 entity
Predicate containsCity P294 FINISHED
Object Kirovsk
Kirovsk is a small industrial town in northwestern Russia, situated near Saint Petersburg along the Neva River.
E250387 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: Kirovsk | Statement: [Leningrad Oblast, containsCity, Kirovsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kirovsk
Context triple: [Leningrad Oblast, containsCity, Kirovsk]
  • 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. Kirov
    Kirov is the revolutionary pseudonym of Sergei Kirov, a prominent early Soviet political leader and close associate of Joseph Stalin.
  • C. Kamyshin
    Kamyshin is a significant industrial and river port city on the Volga River in southwestern Russia.
  • D. Ulyanov
    Ulyanov is the Russian surname of Vladimir Lenin, the revolutionary leader and founder of the Soviet state.
  • E. Priozersk
    Priozersk is a small town in northwestern Russia known for its historic fortress Korela and its location on the shores of Lake Ladoga.
  • 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: Kirovsk
Triple: [Leningrad Oblast, containsCity, Kirovsk]
Generated description
Kirovsk is a small industrial town in northwestern Russia, situated near Saint Petersburg along the Neva River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kirovsk
Target entity description: Kirovsk is a small industrial town in northwestern Russia, situated near Saint Petersburg along the Neva River.
  • 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. Kirov
    Kirov is the revolutionary pseudonym of Sergei Kirov, a prominent early Soviet political leader and close associate of Joseph Stalin.
  • C. Kamyshin
    Kamyshin is a significant industrial and river port city on the Volga River in southwestern Russia.
  • D. Ulyanov
    Ulyanov is the Russian surname of Vladimir Lenin, the revolutionary leader and founder of the Soviet state.
  • E. Priozersk
    Priozersk is a small town in northwestern Russia known for its historic fortress Korela and its location on the shores of Lake Ladoga.
  • 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_69a8862d562481908d7025a1c1f67c0d completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa646914048190bbe282a3d4768835 completed March 6, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae719e35e48190b43b2b2d7f40195a completed March 9, 2026, 7:07 a.m.
NEDg Description generation batch_69ae73b5df288190af7d368b866d20a2 completed March 9, 2026, 7:16 a.m.
NED2 Entity disambiguation (via description) batch_69ae7472fe948190b8df210de1afb159 completed March 9, 2026, 7:19 a.m.
Created at: March 4, 2026, 7:31 p.m.