Triple

T19349406
Position Surface form Disambiguated ID Type / Status
Subject Kamenskiy E483972 entity
Predicate hasFeminineForm P1613 FINISHED
Object Kamenskaya NE NERFINISHED

How this triple was built (3 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: Kamenskaya | Statement: [Kamenskiy, hasFeminineForm, Kamenskaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamenskaya
Context triple: [Kamenskiy, hasFeminineForm, Kamenskaya]
  • A. Khoroshevskaya
    Khoroshevskaya is a Moscow Metro station located on the Big Circle Line, serving the Khoroshyovsky District of the city.
  • B. Gorkovskaya
    Gorkovskaya was the former name of Moscow’s central Tverskaya metro station, reflecting its Soviet-era designation.
  • C. Krasnopresnenskaya
    Krasnopresnenskaya is a Moscow Metro station on the city’s circular Koltsevaya Line, known for its deep-level construction and Soviet-era architectural design.
  • D. Kaluzhskaya
    Kaluzhskaya is a Moscow Metro station on the Kaluzhsko–Rizhskaya line, serving the southwestern part of the city.
  • E. Paveletskaya
    Paveletskaya is a Moscow Metro station named after the nearby Paveletsky railway terminal, serving as a key transport hub in the city’s network.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kamenskaya
Target entity description: Kamenskaya is the feminine form of the Russian surname Kamenskiy, commonly used for women in Russian-speaking contexts.
  • A. Khoroshevskaya
    Khoroshevskaya is a Moscow Metro station located on the Big Circle Line, serving the Khoroshyovsky District of the city.
  • B. Gorkovskaya
    Gorkovskaya was the former name of Moscow’s central Tverskaya metro station, reflecting its Soviet-era designation.
  • C. Krasnopresnenskaya
    Krasnopresnenskaya is a Moscow Metro station on the city’s circular Koltsevaya Line, known for its deep-level construction and Soviet-era architectural design.
  • D. Kaluzhskaya
    Kaluzhskaya is a Moscow Metro station on the Kaluzhsko–Rizhskaya line, serving the southwestern part of the city.
  • E. Paveletskaya
    Paveletskaya is a Moscow Metro station named after the nearby Paveletsky railway terminal, serving as a key transport hub in the city’s network.
  • F. None of above. chosen

Provenance (2 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e6185d54c0819081715ca13a5806b4 completed April 20, 2026, 12:13 p.m.
Created at: April 10, 2026, 1:34 p.m.