Triple

T13720379
Position Surface form Disambiguated ID Type / Status
Subject Seleznevskaya Street E329015 entity
Predicate hasNameInLanguage P15 FINISHED
Object Селезнёвская улица E329015 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: Селезнёвская улица | Statement: [Seleznevskaya Street, hasNameInLanguage, Селезнёвская улица]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Селезнёвская улица
Context triple: [Seleznevskaya Street, hasNameInLanguage, Селезнёвская улица]
  • A. Seleznevskaya Street chosen
    Seleznevskaya Street is a street in Moscow, Russia, known in part for providing one of the entrances to the Novoslobodskaya metro station.
  • B. Deribasovskaya Street
    Deribasovskaya Street is a central, historic pedestrian street in Odesa, Ukraine, known for its lively atmosphere, shops, cafes, and cultural landmarks.
  • C. Zelenodolskaya Street
    Zelenodolskaya Street is a residential and transport artery in Moscow associated with the Kuzminki district.
  • D. Novoryazanskaya Street
    Novoryazanskaya Street is a street in Moscow, Russia, located near the major transport hub of Komsomolskaya Square and its three railway stations.
  • E. Novogireevskaya Street
    Novogireevskaya Street is a local street in the Novogireyevo district of Moscow, Russia, serving as one of the area's residential and transport thoroughfares.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd439a121c81908cae964e7756274c completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d5c4f848190993f829824eabbef completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:55 p.m.