Triple

T12594922
Position Surface form Disambiguated ID Type / Status
Subject Taraškievica E300707 entity
Predicate describedInWork P519 FINISHED
Object Belarusian grammar for schools E54247 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: Belarusian grammar for schools | Statement: [Taraškievica, describedInWork, Belarusian grammar for schools]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belarusian grammar for schools
Context triple: [Taraškievica, describedInWork, Belarusian grammar for schools]
  • A. Belarusian language
    The Belarusian language is an East Slavic language primarily spoken in Belarus and recognized as one of its official state languages.
  • B. Standard Belarusian chosen
    Standard Belarusian is the codified modern form of the Belarusian language used in official communication, education, and literature in Belarus.
  • C. Grammatiko
    Grammatiko is a village in the East Attica region of Greece, known for its traditional character and proximity to the Marathon area.
  • D. Gramatiko
    Gramatiko is the grammar section of the Fundamento de Esperanto, outlining the core grammatical rules of the Esperanto language.
  • E. Elementa grammatices Tscheremissae
    Elementa grammatices Tscheremissae is a 19th-century scholarly grammar that systematically describes the Mari (Cheremis) language, authored by the Finnish linguist Matthias Castrén.
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954cde3c0819094e74413d6dcf548 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ec49af881908abb948567b82b74 completed May 2, 2026, 8:29 p.m.
Created at: April 9, 2026, 5:08 p.m.