Triple

T19737517
Position Surface form Disambiguated ID Type / Status
Subject Leningradskaya Hotel E474025 entity
Predicate near P350 FINISHED
Object Komsomolskaya Square NE NERFINISHED

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: Komsomolskaya Square | Statement: [Leningradskaya Hotel, near, Komsomolskaya Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Komsomolskaya Square
Context triple: [Leningradskaya Hotel, near, Komsomolskaya Square]
  • A. Komsomolskaya Square chosen
    Komsomolskaya Square is a major transport hub in Moscow known for its concentration of railway stations and heavy commuter traffic.
  • B. Vladimirskaya Square
    Vladimirskaya Square is a central urban square in Saint Petersburg, Russia, known for its historic architecture and proximity to major transport links and cultural landmarks.
  • C. Sovetskaya Square
    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.
  • D. Bolotnaya Square
    Bolotnaya Square is a historic public square in central Moscow, known for its political demonstrations and its location near the Kremlin along the Moscow River.
  • E. Krasnaya Square
    Krasnaya Square is the former name of Minin and Pozharsky Square, a central public square in Nizhny Novgorod, Russia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6515ea688819097b6838e6a3b3d4a completed April 20, 2026, 4:16 p.m.
Created at: April 10, 2026, 1:47 p.m.