Triple

T17080489
Position Surface form Disambiguated ID Type / Status
Subject Independence Square E414456 entity
Predicate formerName P65 FINISHED
Object Sofiyska Square E643477 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: Sofiyska Square | Statement: [Independence Square, formerName, Sofiyska Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sofiyska Square
Context triple: [Independence Square, formerName, Sofiyska Square]
  • A. St Nedelya Square chosen
    St Nedelya Square is a central public square in Sofia, Bulgaria, known as a major urban hub surrounded by historic buildings, shops, and transport links.
  • B. Teatralnaya Square
    Teatralnaya Square is a historic public square in central Saint Petersburg, Russia, known for its proximity to major theaters and cultural landmarks.
  • C. Teatralnaya Square
    Teatralnaya Square is a central public square in Moscow known for its proximity to major cultural landmarks and government buildings, including the Bolshoi Theatre and the State Duma.
  • D. Triumfalnaya Square
    Triumfalnaya Square is a major public square in central Moscow, known as a prominent urban space and transport hub along Tverskaya Street.
  • E. Bessarabska Square
    Bessarabska Square is a central and bustling public square in Kyiv, Ukraine, known for its historic Bessarabsky Market and location at the end of the city’s main thoroughfare.
  • 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_6a012ee243c081909aa6d470e002222a completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:34 a.m.