Triple

T5631462
Position Surface form Disambiguated ID Type / Status
Subject Traktor Chelyabinsk E147841 entity
Predicate formerName P65 FINISHED
Object Avangard Chelyabinsk E147841 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 Chelyabinsk | Statement: [Traktor Chelyabinsk, formerName, Avangard Chelyabinsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avangard Chelyabinsk
Context triple: [Traktor Chelyabinsk, formerName, Avangard Chelyabinsk]
  • A. 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.
  • 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. Traktor Chelyabinsk chosen
    Traktor Chelyabinsk is a professional ice hockey club from Chelyabinsk, Russia, historically recognized as one of the prominent teams in Soviet and Russian hockey.
  • 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. Kurskaya
    Kurskaya is a Moscow Metro station on the Koltsevaya (Circle) Line, serving as a major transfer hub in the city’s rapid transit network.
  • 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_69c00907bc8881909ed760d3ed73ef35 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0225cdcdc819095034f12c39ef755 completed March 22, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d69128881909870e8901f967e80 completed March 22, 2026, 8:13 p.m.
Created at: March 22, 2026, 3:40 p.m.