Triple

T11522115
Position Surface form Disambiguated ID Type / Status
Subject Boris Orlovsky E273189 entity
Predicate hasWorkIn P17879 FINISHED
Object Saint Isaac's Square E60917 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: Saint Isaac's Square | Statement: [Boris Orlovsky, hasWorkIn, Saint Isaac's Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint Isaac's Square
Context triple: [Boris Orlovsky, hasWorkIn, Saint Isaac's Square]
  • A. Saint Isaac's Square chosen
    Saint Isaac's Square is a prominent historic plaza in central Saint Petersburg, Russia, known for its grand architecture and as the setting for Saint Isaac's Cathedral and other notable landmarks.
  • B. Peter’s Square
    Peter’s Square is the former name of Senate Square, a historic and architecturally significant central square in Helsinki, Finland.
  • C. Triumfalnaya Square
    Triumfalnaya Square is a major public square in central Moscow, known as a prominent urban space and transport hub along Tverskaya Street.
  • D. Teatralnaya Square
    Teatralnaya Square is a historic public square in central Saint Petersburg, Russia, known for its proximity to major theaters and cultural landmarks.
  • E. 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.
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d87fd129c88190893b95222480e04a completed April 10, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e62551a36081908ef6418fe8e2155c completed April 20, 2026, 1:08 p.m.
Created at: April 8, 2026, 9:37 p.m.