Triple

T6633927
Position Surface form Disambiguated ID Type / Status
Subject Avangard Omsk E150397 entity
Predicate shortName P43 FINISHED
Object Avangard E150397 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: Avangard | Statement: [Avangard Omsk, shortName, Avangard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avangard
Context triple: [Avangard Omsk, shortName, Avangard]
  • 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. Shaposhnikov
    Shaposhnikov is a Russian surname most notably associated with Soviet military leader Boris Shaposhnikov.
  • C. Vityaz Podolsk
    Vityaz Podolsk is a professional ice hockey club based in Podolsk, Russia, known for competing in the Kontinental Hockey League (KHL).
  • D. Dynamo Kursk
    Dynamo Kursk is a prominent Russian women's basketball club that competes in top domestic and European competitions, including the EuroLeague Women.
  • E. Bakhtrioni
    Bakhtrioni is a celebrated narrative poem by Georgian writer Vazha-Pshavela, known for its patriotic themes and vivid depiction of highland life and resistance.
  • 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_69c687f0ceb08190bf40807bfc605fa5 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6afca8f0c819094a1989360cf58b6 completed March 27, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e4518f4881909c0a56df993d2af6 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:59 p.m.