Triple

T5108741
Position Surface form Disambiguated ID Type / Status
Subject Krymsky Bridge E115161 entity
Predicate hasViewOf P854 FINISHED
Object Gorky Park E494520 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: Gorky Park | Statement: [Krymsky Bridge, hasViewOf, Gorky Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gorky Park
Context triple: [Krymsky Bridge, hasViewOf, Gorky Park]
  • A. Gorky Park chosen
    Gorky Park is a famous central Moscow park known for its recreational facilities, cultural events, and scenic riverside location.
  • B. Gorky Park
    Gorky Park is a 1983 crime thriller film, based on Martin Cruz Smith’s novel, about a Soviet detective investigating a triple murder in Moscow.
  • C. Vecherniy Kvartal
    Vecherniy Kvartal is a popular Ukrainian comedy and satirical TV show known for its sketches, political humor, and live performances.
  • D. The Man from St. Petersburg
    The Man from St. Petersburg is a historical thriller novel by Ken Follett set on the eve of World War I, involving espionage, political intrigue, and an anarchist plot in Edwardian England.
  • E. La Coupole
    La Coupole is a historic and iconic Parisian brasserie in Montparnasse, famed for its Art Deco decor and its role as a meeting place for artists and intellectuals.
  • 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_69bd4440b3348190be1251fd8b7951f1 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75aa6b088190b02cdb66ec4a11f0 completed March 20, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec36fe8dc8190a391547043d28e11 completed March 21, 2026, 4:12 p.m.
Created at: March 20, 2026, 1:41 p.m.