Triple

T13254239
Position Surface form Disambiguated ID Type / Status
Subject Kropotkinskaya E315615 entity
Predicate nearbyLandmark P350 FINISHED
Object Volkhonka Street E619220 NE FINISHED

How this triple was built (2 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: Volkhonka Street | Statement: [Kropotkinskaya, nearbyLandmark, Volkhonka Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Volkhonka Street
Context triple: [Kropotkinskaya, nearbyLandmark, Volkhonka Street]
  • A. Volkhonka Street chosen
    Volkhonka Street is a historic central Moscow street known for its cultural landmarks, including major museums and proximity to the Kremlin.
  • B. Ozyornaya Street
    Ozyornaya Street is a roadway, likely in a Russian-speaking region, that serves as the namesake and location for the entity Ozyornaya.
  • 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. Lyusinovskaya Street
    Lyusinovskaya Street is a street in central Moscow, Russia, located near and providing access to the Dobryninskaya metro station.
  • E. Nikolskaya Street
    Nikolskaya Street is a historic and central Moscow thoroughfare leading from Red Square, known for its ornate architecture, luxury shops, and role as a major pedestrian and tourist route.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f7517048190b4eac4e44e81ff66 completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a008a1d8e088190a2168952ab5dc687 completed May 10, 2026, 1:37 p.m.
Created at: April 9, 2026, 9:24 p.m.