Triple

T10381472
Position Surface form Disambiguated ID Type / Status
Subject Tverskaya Street E244649 entity
Predicate hasNearbySquare P7888 FINISHED
Object Pushkin Square E224203 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: Pushkin Square | Statement: [Tverskaya Street, hasNearbySquare, Pushkin Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pushkin Square
Context triple: [Tverskaya Street, hasNearbySquare, Pushkin Square]
  • A. Pushkinskaya Square chosen
    Pushkinskaya Square is a major public square and cultural gathering place in central Moscow, known for its monument to the poet Alexander Pushkin and its role as a popular meeting and demonstration site.
  • 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. Sennaya Square
    Sennaya Square is a historic public square in central Saint Petersburg, Russia, long known as a bustling commercial hub and a setting in several of Dostoevsky’s works.
  • D. 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.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9921fa48190a874aa9a9e385b97 completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc1eb7348190b9f3c473443bacf3 completed April 10, 2026, 11:16 a.m.
Created at: April 6, 2026, 12:03 p.m.