Triple

T17080491
Position Surface form Disambiguated ID Type / Status
Subject Independence Square E414456 entity
Predicate formerName P65 FINISHED
Object Soviet Square E772588 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: Soviet Square | Statement: [Independence Square, formerName, Soviet Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soviet Square
Context triple: [Independence Square, formerName, Soviet Square]
  • A. Sovetskaya Square chosen
    Sovetskaya Square was the former name of Minin and Pozharsky Square, a central public square in Nizhny Novgorod, Russia, known for its historical and cultural significance.
  • B. Stalin Square
    Stalin Square was the former name of Tirana’s central Skanderbeg Square during Albania’s communist era, reflecting its past dedication to Soviet leader Joseph Stalin.
  • C. Truda Square
    Truda Square is a notable public square in Saint Petersburg, Russia, known for its historical significance and prominent architectural landmarks.
  • D. Susaninskaya Square
    Susaninskaya Square is the central historic square of Kostroma, Russia, known for its radial street layout and surrounding neoclassical architecture.
  • E. Ilyich Square
    Ilyich Square is a public square in Moscow, Russia, historically associated with Vladimir Ilyich Lenin and serving as a notable urban and transport hub.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe24a6481908b4596c95220df4a completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014140722481909f976e32597a873d completed May 11, 2026, 2:38 a.m.
Created at: April 10, 2026, 5:34 a.m.