Triple

T10192028
Position Surface form Disambiguated ID Type / Status
Subject Novogireyevo E238058 entity
Predicate hasExitTo P29827 FINISHED
Object Zeleny Prospekt E935845 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: Zeleny Prospekt | Statement: [Novogireyevo, hasExitTo, Zeleny Prospekt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zeleny Prospekt
Context triple: [Novogireyevo, hasExitTo, Zeleny Prospekt]
  • A. Zeleny Prospekt chosen
    Zeleny Prospekt is a major avenue in Moscow, Russia, known for running through several eastern districts and serving as an important local transport and residential corridor.
  • B. Leninsky Prospekt
    Leninsky Prospekt is a major avenue in Moscow, Russia, known for its wide thoroughfare, Soviet-era architecture, and prominent landmarks.
  • C. Leninsky Prospekt
    Leninsky Prospekt is a major avenue and transport artery in Saint Petersburg, Russia, known for connecting residential districts with the city’s broader road network.
  • D. Michurinsky Prospekt
    Michurinsky Prospekt is a metro station on Moscow’s Big Circle Line serving the Michurinsky Prospekt area in the city’s western district.
  • E. Nakhimovsky Prospekt
    Nakhimovsky Prospekt is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the south of Moscow.
  • 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_69ca84de1b208190bf17bb305b002605 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdedc4fb808190aae2e4b84be96f83 completed April 2, 2026, 4:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee85e044e881909d426f7121dd89e1 completed April 26, 2026, 9:38 p.m.
Created at: March 30, 2026, 9:13 p.m.