Triple

T7783806
Position Surface form Disambiguated ID Type / Status
Subject Valeri Viktorovich Kamensky E187190 entity
Predicate playedFor P2170 FINISHED
Object Khimik Voskresensk E140978 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: Khimik Voskresensk | Statement: [Valeri Viktorovich Kamensky, playedFor, Khimik Voskresensk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khimik Voskresensk
Context triple: [Valeri Viktorovich Kamensky, playedFor, Khimik Voskresensk]
  • A. Khimik Voskresensk chosen
    Khimik Voskresensk is a Russian professional ice hockey club based in Voskresensk, known for developing numerous prominent players in Soviet and Russian hockey.
  • B. Khimik Omsk
    Khimik Omsk was the former name of the professional ice hockey club now known as Avangard Omsk, a prominent team in Russian hockey.
  • C. Volokolamskaya
    Volokolamskaya is a Moscow Metro station on the Arbatsko–Pokrovskaya Line serving the northwestern part of the city.
  • D. Pervouralsk
    Pervouralsk is an industrial city in Russia’s Ural region, known for its metallurgical plants and location near the geographic border between Europe and Asia.
  • E. Sestroretsk
    Sestroretsk is a town in northwestern Russia, now part of Saint Petersburg, historically known for its arms factory and seaside resort area on the Gulf of Finland.
  • 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_69ca82af2d2c8190963861f5e0b8bf21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cadf210f508190b215a0ab95192689 completed March 30, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf5e400d881909d6cdeb7eaac3a59 completed March 30, 2026, 10:15 p.m.
Created at: March 30, 2026, 4:22 p.m.