Triple

T10879281
Position Surface form Disambiguated ID Type / Status
Subject Arbatsky radius E256878 entity
Predicate namedAfter P63 FINISHED
Object Arbat E224202 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: Arbat | Statement: [Arbatsky radius, namedAfter, Arbat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arbat
Context triple: [Arbatsky radius, namedAfter, Arbat]
  • A. Novy Arbat
    Novy Arbat is a major modern avenue in central Moscow, known for its wide layout, Soviet-era high-rises, and prominent shops, restaurants, and entertainment venues.
  • B. Arbat District chosen
    Arbat District is a historic central neighborhood in Moscow, Russia, known for its famous pedestrian Arbat Street, cultural landmarks, and artistic heritage.
  • C. Arbat Square
    Arbat Square is a central public square in Moscow that serves as a key junction and gateway to the historic Old Arbat pedestrian street.
  • D. Okhotny Ryad
    Okhotny Ryad is a central Moscow street and area near the Kremlin known for its historic significance, government buildings, and major shopping complexes.
  • E. Old Arbat Street
    Old Arbat Street is a historic pedestrian thoroughfare in central Moscow known for its artists, street performers, souvenir shops, and preserved pre-revolutionary architecture.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751af50448190906b47c16878208f completed April 9, 2026, 7:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69e3443f04c08190a8071ac7374115b1 completed April 18, 2026, 8:43 a.m.
Created at: April 8, 2026, 9:21 p.m.