Triple

T22673770
Position Surface form Disambiguated ID Type / Status
Subject Leonid Eduardovich Slutsky E560290 entity
Predicate politicalAlignment P496 FINISHED
Object LDPR 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: LDPR | Statement: [Leonid Eduardovich Slutsky, politicalAlignment, LDPR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LDPR
Context triple: [Leonid Eduardovich Slutsky, politicalAlignment, LDPR]
  • A. LDPR chosen
    LDPR is a Russian nationalist and right-wing populist political party known for its controversial rhetoric and long-time leadership under Vladimir Zhirinovsky.
  • B. DPR
    DPR is the commonly used abbreviation for the California Department of Pesticide Regulation, the state agency responsible for overseeing pesticide sales and use to protect public health and the environment.
  • C. DPR
    DPR is the government agency responsible for managing and operating public parks, recreational facilities, and community programs in Washington, D.C.
  • D. DPR
    DPR is the commonly used abbreviation for Indonesia’s national legislature, the People's Representative Council.
  • E. NLD
    NLD is the three-letter ISO 3166-1 country code for the Netherlands.
  • 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_69e2454bfd00819099115715a22cb057 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178229e908190b696d14a93c11344 completed April 29, 2026, 3:16 a.m.
Created at: April 17, 2026, 3:10 p.m.