Triple

T16929237
Position Surface form Disambiguated ID Type / Status
Subject Teatralnaya E410658 entity
Predicate hasTransferTo P17241 FINISHED
Object Okhotny Ryad NE NERFINISHED

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: Okhotny Ryad | Statement: [Teatralnaya, hasTransferTo, Okhotny Ryad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Okhotny Ryad
Context triple: [Teatralnaya, hasTransferTo, Okhotny Ryad]
  • A. Okhotny Ryad chosen
    Okhotny Ryad is a central Moscow street and area near the Kremlin known for its historic significance, government buildings, and major shopping complexes.
  • B. Tverskoy Boulevard
    Tverskoy Boulevard is one of Moscow’s historic central boulevards, known for its tree-lined promenade, cultural landmarks, and role as part of the city’s Boulevard Ring.
  • C. Gorokhovaya Street
    Gorokhovaya Street is a historic central street in Saint Petersburg, Russia, known for its 18th–19th century architecture and proximity to major landmarks of the city’s imperial era.
  • D. Ozyornaya Street
    Ozyornaya Street is a roadway, likely in a Russian-speaking region, that serves as the namesake and location for the entity Ozyornaya.
  • E. Bolshaya Pochtovaya Street
    Bolshaya Pochtovaya Street is a street in Moscow, Russia, known for its industrial heritage and proximity to major transport and factory complexes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cf23873c8190bdc9121d6c3850e2 completed April 18, 2026, 6:36 p.m.
Created at: April 10, 2026, 5:30 a.m.