Triple

T9418188
Position Surface form Disambiguated ID Type / Status
Subject Chistye Prudy station E227081 entity
Predicate formerName P65 FINISHED
Object Kirovskaya
Kirovskaya was the original name of the Moscow Metro station now known as Chistye Prudy.
 E832442 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: Kirovskaya | Statement: [Chistye Prudy station, formerName, Kirovskaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kirovskaya
Context triple: [Chistye Prudy station, formerName, Kirovskaya]
  • A. Kirovsk
    Kirovsk is a small industrial town in northwestern Russia, situated near Saint Petersburg along the Neva River.
  • 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. Voroshilovsk
    Voroshilovsk was the Soviet-era name of the Russian city now known as Stavropol, reflecting a period when it was renamed in honor of a prominent Soviet military and political figure.
  • D. Votkinsk
    Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
  • E. Kirovgrad
    Kirovgrad is a small industrial town in Russia’s Ural region, historically associated with non-ferrous metal mining and processing.
  • 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: Kirovskaya
Triple: [Chistye Prudy station, formerName, Kirovskaya]
Generated description
Kirovskaya was the original name of the Moscow Metro station now known as Chistye Prudy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kirovskaya
Target entity description: Kirovskaya was the original name of the Moscow Metro station now known as Chistye Prudy.
  • A. Kirovsk
    Kirovsk is a small industrial town in northwestern Russia, situated near Saint Petersburg along the Neva River.
  • 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. Voroshilovsk
    Voroshilovsk was the Soviet-era name of the Russian city now known as Stavropol, reflecting a period when it was renamed in honor of a prominent Soviet military and political figure.
  • D. Votkinsk
    Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
  • E. Kirovgrad
    Kirovgrad is a small industrial town in Russia’s Ural region, historically associated with non-ferrous metal mining and processing.
  • 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_69ca84359e7c819091148ba4b670e436 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd68cd1e3481909abcb715e2398120 completed April 1, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d23c8f14b081909df4eae9b2d16860 completed April 5, 2026, 10:42 a.m.
NEDg Description generation batch_69d23e6ca3908190b7ad7b932ab35ad7 completed April 5, 2026, 10:50 a.m.
NED2 Entity disambiguation (via description) batch_69d241020074819092bc2deea85a6ac0 completed April 5, 2026, 11:01 a.m.
Created at: March 30, 2026, 7:48 p.m.