Triple

T19997498
Position Surface form Disambiguated ID Type / Status
Subject Jonquel Jones E494232 entity
Predicate playedFor P2170 FINISHED
Object UMMC Ekaterinburg 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: UMMC Ekaterinburg | Statement: [Jonquel Jones, playedFor, UMMC Ekaterinburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UMMC Ekaterinburg
Context triple: [Jonquel Jones, playedFor, UMMC Ekaterinburg]
  • A. UMMC Ekaterinburg chosen
    UMMC Ekaterinburg is a prominent Russian professional women's basketball club based in Yekaterinburg, known for its success in domestic and European competitions.
  • B. Samara University
    Samara University is a higher education institution located in the city of Samara, Russia, offering a range of academic and research programs.
  • C. South Ural State University
    South Ural State University is a major public research university in Chelyabinsk, Russia, known for its engineering, technical, and multidisciplinary academic programs.
  • D. Omsk State University
    Omsk State University is a major public university in Omsk, Russia, offering a wide range of undergraduate and graduate programs across various disciplines.
  • E. Ural Federal University
    Ural Federal University is one of Russia’s largest and leading public research universities, located in Yekaterinburg and known for its strong engineering, technical, and applied science programs.
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fe6827481909469129feb9aad91 completed April 20, 2026, 5:18 p.m.
Created at: April 11, 2026, 3:32 p.m.