Triple

T19266412
Position Surface form Disambiguated ID Type / Status
Subject Tomáš Vlasák E481791 entity
Predicate playedFor P2170 FINISHED
Object Avangard Omsk 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: Avangard Omsk | Statement: [Tomáš Vlasák, playedFor, Avangard Omsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avangard Omsk
Context triple: [Tomáš Vlasák, playedFor, Avangard Omsk]
  • A. Avangard Omsk chosen
    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.
  • B. Vityaz Podolsk
    Vityaz Podolsk is a professional ice hockey club based in Podolsk, Russia, known for competing in the Kontinental Hockey League (KHL).
  • C. Arzamas-16
    Arzamas-16 was the secret Soviet closed city and primary nuclear weapons research center, now known as Sarov.
  • D. Uralmash Sverdlovsk
    Uralmash Sverdlovsk was the Soviet-era name of the professional football club now known as FC Ural Yekaterinburg, based in Yekaterinburg, Russia.
  • E. Kirov Factory
    Kirov Factory is a historic Russian heavy machinery and defense plant best known for producing Soviet tanks and other armored vehicles.
  • 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb8d58988190a942627b1fb79285 completed April 20, 2026, 10:10 a.m.
Created at: April 10, 2026, 1:29 p.m.