Triple

T14016764
Position Surface form Disambiguated ID Type / Status
Subject PFC Krylia Sovetov Samara E337223 entity
Predicate shortName P43 FINISHED
Object Krylya Sovetov E1073325 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: Krylya Sovetov | Statement: [PFC Krylia Sovetov Samara, shortName, Krylya Sovetov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krylya Sovetov
Context triple: [PFC Krylia Sovetov Samara, shortName, Krylya Sovetov]
  • A. Krylia Sovetov chosen
    Krylia Sovetov is a Russian professional football club based in Samara that competes in the Russian football league system.
  • B. Avangard Omsk
    Avangard Omsk is a prominent professional ice hockey club from Omsk, Russia, known as one of the country’s most successful and historically significant teams.
  • C. Lokomotiv
    Lokomotiv is a Russian professional football club based in Moscow that competes in the Russian Premier League.
  • D. Cuarto Dinamo
    Cuarto Dinamo is a scenic recreational area within Mexico City’s Los Dinamos National Park, known for its forested landscapes, rivers, and outdoor activities like hiking and camping.
  • E. MKB Fakel
    MKB Fakel is a Russian aerospace company best known for developing and producing rocket and space propulsion systems, particularly electric thrusters for satellites.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2f396b648190927e5718c3bb6511 completed April 14, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc32d77108190b038e8a750738439 completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:19 p.m.