Triple

T19926574
Position Surface form Disambiguated ID Type / Status
Subject Smolenskaya-Sennaya Square E478937 entity
Predicate hasNearbyStreet P8235 FINISHED
Object Smolenskaya Street 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: Smolenskaya Street | Statement: [Smolenskaya-Sennaya Square, hasNearbyStreet, Smolenskaya Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Smolenskaya Street
Context triple: [Smolenskaya-Sennaya Square, hasNearbyStreet, Smolenskaya Street]
  • A. Nizhegorodskaya Street
    Nizhegorodskaya Street is a major thoroughfare in Moscow, Russia, after which the nearby Nizhegorodskaya MCC station is named.
  • B. Krasnoselskaya Street
    Krasnoselskaya Street is a notable thoroughfare in Moscow, Russia, known for giving its name to the surrounding Krasnoselsky District and the nearby Krasnoselskaya metro station.
  • C. Zhigulevskaya Street
    Zhigulevskaya Street is a street in Moscow, Russia, located in the southeastern part of the city and serving residential neighborhoods including the Kuzminki area.
  • D. Seleznevskaya Street
    Seleznevskaya Street is a street in Moscow, Russia, known in part for providing one of the entrances to the Novoslobodskaya metro station.
  • E. Mokhovaya Street
    Mokhovaya Street is a central Moscow thoroughfare near the Kremlin, known for its historic buildings and role as a key link in the city’s core road 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: Smolenskaya Street
Target entity description: Smolenskaya Street is a central Moscow thoroughfare known for its proximity to Smolenskaya-Sennaya Square and its role as a key urban connector in the city’s historic core.
  • A. Nizhegorodskaya Street
    Nizhegorodskaya Street is a major thoroughfare in Moscow, Russia, after which the nearby Nizhegorodskaya MCC station is named.
  • B. Krasnoselskaya Street
    Krasnoselskaya Street is a notable thoroughfare in Moscow, Russia, known for giving its name to the surrounding Krasnoselsky District and the nearby Krasnoselskaya metro station.
  • C. Zhigulevskaya Street
    Zhigulevskaya Street is a street in Moscow, Russia, located in the southeastern part of the city and serving residential neighborhoods including the Kuzminki area.
  • D. Seleznevskaya Street
    Seleznevskaya Street is a street in Moscow, Russia, known in part for providing one of the entrances to the Novoslobodskaya metro station.
  • E. Mokhovaya Street
    Mokhovaya Street is a central Moscow thoroughfare near the Kremlin, known for its historic buildings and role as a key link in the city’s core road 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659ca52c881908dc8053bf61be4c4 completed April 20, 2026, 4:52 p.m.
Created at: April 10, 2026, 1:53 p.m.