Triple

T6433754
Position Surface form Disambiguated ID Type / Status
Subject LDPB E129840 entity
Predicate languageOfName P15 FINISHED
Object Belarusian E305736 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 | Statement: [LDPB, languageOfName, Belarusian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belarusian
Context triple: [LDPB, languageOfName, Belarusian]
  • A. Belarusian language chosen
    The Belarusian language is an East Slavic language primarily spoken in Belarus and recognized as one of its official state languages.
  • B. Standard Belarusian
    Standard Belarusian is the codified modern form of the Belarusian language used in official communication, education, and literature in Belarus.
  • C. Belarusians
    Belarusians are an East Slavic ethnic group primarily associated with the modern nation of Belarus, sharing linguistic, cultural, and historical ties with Russians and Ukrainians.
  • D. Old Belarusian
    Old Belarusian is a historical East Slavic language that served as the literary and chancery language of the Grand Duchy of Lithuania and is a direct ancestor of the modern Belarusian language.
  • E. Surzhyk
    Surzhyk is a mixed sociolect that blends elements of Ukrainian and Russian, commonly spoken in various regions of Ukraine.
  • 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_69c0084caac48190a7bc2ad8ba44536f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0693f73ec8190883470b57f8141aa completed March 22, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640efd490819084b3b67b3b0680b6 completed March 27, 2026, 8:33 a.m.
Created at: March 22, 2026, 4:45 p.m.