Triple

T10085466
Position Surface form Disambiguated ID Type / Status
Subject Orsha E215208 entity
Predicate languageMajority P237 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: [Orsha, languageMajority, Belarusian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belarusian
Context triple: [Orsha, languageMajority, 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. Нараў (Belarusian)
    Нараў is the Belarusian name for the Narew River, a major Eastern European river flowing through Poland and Belarus and known for its extensive wetlands and unique anastomosing channels.
  • 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_69ca83a1eed081908b2e9580f2ebeea7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd04609748190987a9364a387fa61 completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b68188c48190ac783cdfc072c502 completed April 5, 2026, 7:22 p.m.
Created at: March 30, 2026, 9 p.m.