Triple

T10879340
Position Surface form Disambiguated ID Type / Status
Subject General Staff Building, Arbat Square, Moscow E256880 entity
Predicate locatedIn P40 FINISHED
Object Arbat Square E815084 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 Square | Statement: [General Staff Building, Arbat Square, Moscow, locatedIn, Arbat Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arbat Square
Context triple: [General Staff Building, Arbat Square, Moscow, locatedIn, Arbat Square]
  • A. Arbat Square chosen
    Arbat Square is a central public square in Moscow that serves as a key junction and gateway to the historic Old Arbat pedestrian street.
  • B. Taganskaya Square
    Taganskaya Square is a major public square and transport hub in central Moscow, known for its historic architecture and busy traffic intersections.
  • C. Krasnaya Square
    Krasnaya Square is the former name of Minin and Pozharsky Square, a central public square in Nizhny Novgorod, Russia.
  • D. Tverskaya Zastava Square
    Tverskaya Zastava Square is a major transport and urban hub in central Moscow, known for its historic architecture and role as a gateway to Tverskaya Street and the Belorussky railway station.
  • E. Gorky Square
    Gorky Square is a central public square in Nizhny Novgorod, Russia, known as a major transport hub and urban gathering place.
  • 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_69e2168b4ba48190b68955ec17a5607b completed April 17, 2026, 11:16 a.m.
Created at: April 8, 2026, 9:21 p.m.