Triple

T14430192
Position Surface form Disambiguated ID Type / Status
Subject Арбатско-Покровская линия E357804 entity
Predicate имеетСтанцию P726 FINISHED
Object Молодёжная E256874 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: Молодёжная | Statement: [Арбатско-Покровская линия, имеетСтанцию, Молодёжная]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Молодёжная
Context triple: [Арбатско-Покровская линия, имеетСтанцию, Молодёжная]
  • A. Molodyozhnaya chosen
    Molodyozhnaya is a Moscow Metro station serving the western part of the city on one of its main radial lines.
  • B. Giovinezza
    Giovinezza was the fascist-era anthem of Italy, closely associated with Benito Mussolini’s regime and its youth-centered ideology.
  • C. Gençler
    Gençler is a common nickname for the Turkish football club Gençlerbirliği S.K., based in Ankara and known for competing in the country's professional leagues.
  • D. Junger
    Junger is the surname of Sebastian Junger, an American author, journalist, and documentary filmmaker known for works like "The Perfect Storm" and "Restrepo."
  • E. Young D
    Young D is a music producer best known for his work on the television sitcom "The King of Queens."
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de914570f08190b1c7c1c57a0cb476 completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bd1c4d0819085edb9ed22128b68 completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:18 a.m.