Triple

T16013691
Position Surface form Disambiguated ID Type / Status
Subject Ploshchad Gagarina station E388405 entity
Predicate locatedNear P294 FINISHED
Object Leninsky Prospekt E212913 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: Leninsky Prospekt | Statement: [Ploshchad Gagarina station, locatedNear, Leninsky Prospekt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leninsky Prospekt
Context triple: [Ploshchad Gagarina station, locatedNear, Leninsky Prospekt]
  • A. Leninsky Prospekt chosen
    Leninsky Prospekt is a major avenue in Moscow, Russia, known for its wide thoroughfare, Soviet-era architecture, and prominent landmarks.
  • B. 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.
  • C. Nakhimovsky Prospekt
    Nakhimovsky Prospekt is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the south of Moscow.
  • D. Kutuzovsky Prospekt
    Kutuzovsky Prospekt is a major, historically significant avenue in Moscow known for its wide thoroughfare, Stalin-era architecture, and role as a key route into the city center.
  • E. Krasny Prospekt
    Krasny Prospekt is a metro station in Novosibirsk, Russia, serving one of the city’s main central 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18292b79881908efac869603c4029 completed April 17, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01a7dc75ec8190ac3072f9d1b10ac7 completed May 11, 2026, 9:56 a.m.
Created at: April 10, 2026, 4:55 a.m.