Triple

T1887070
Position Surface form Disambiguated ID Type / Status
Subject Jaromír Jágr E39986 entity
Predicate memberOfSportsTeam P330 FINISHED
Object Avangard Omsk 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 Omsk | Statement: [Jaromír Jágr, memberOfSportsTeam, Avangard Omsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avangard Omsk
Context triple: [Jaromír Jágr, memberOfSportsTeam, 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. SVERDLOVSK AIR
    SVERDLOVSK AIR is the radio callsign used by Ural Airlines, a Russian commercial airline based in Yekaterinburg.
  • D. Mil Moscow Helicopter Plant
    Mil Moscow Helicopter Plant is a Russian aerospace company renowned for designing and producing a wide range of military and civilian helicopters, including several iconic Soviet-era gunships and transport models.
  • E. Rubtsovsk
    Rubtsovsk is an industrial city in Altai Krai, Russia, known as the birthplace of Raisa Gorbacheva and for its role as a regional agricultural and machinery center.
  • 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_69a88633e4fc8190b7eb40463e048ec5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb121a3cc81909c60ac65627142d1 completed March 7, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf63863881908efd8010db14b8a8 completed March 8, 2026, 8:43 p.m.
Created at: March 4, 2026, 7:34 p.m.