Triple

T16295128
Position Surface form Disambiguated ID Type / Status
Subject Malcolm Delaney E395627 entity
Predicate memberOfSportsTeam P330 FINISHED
Object Lokomotiv Kuban E1154844 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: Lokomotiv Kuban | Statement: [Malcolm Delaney, memberOfSportsTeam, Lokomotiv Kuban]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lokomotiv Kuban
Context triple: [Malcolm Delaney, memberOfSportsTeam, Lokomotiv Kuban]
  • A. Lokomotiv Kuban chosen
    Lokomotiv Kuban is a professional basketball club based in Krasnodar, Russia, known for competing in top European and Russian leagues.
  • B. Lokomotiv Alma-Ata
    Lokomotiv Alma-Ata was a Soviet-era football club from Alma-Ata (now Almaty, Kazakhstan) that later became known as FC Kairat.
  • C. Lokomotiv Moscow
    Lokomotiv Moscow is a major Russian professional football club from Moscow, known for competing in the Russian Premier League and being one of the city’s traditional powerhouses.
  • D. FC Krylia Sovetov Moscow
    FC Krylia Sovetov Moscow was a Soviet-era football club based in Moscow that competed in the USSR football league system.
  • E. FC Lada-Tolyatti
    FC Lada-Tolyatti is a Russian football club from Tolyatti known for competing in the national league system and maintaining regional rivalries, particularly with nearby clubs.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e2d08108190bab1b3325923af1d completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f9965b8819080278ccef15288aa completed May 10, 2026, 6:03 a.m.
Created at: April 10, 2026, 5:05 a.m.