Triple

T1581342
Position Surface form Disambiguated ID Type / Status
Subject guberniya E33767 entity
Predicate hasNotableExample P1259 FINISHED
Object Vilna Governorate E52184 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: Vilna Governorate | Statement: [guberniya, hasNotableExample, Vilna Governorate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vilna Governorate
Context triple: [guberniya, hasNotableExample, Vilna Governorate]
  • A. Vilna Governorate chosen
    Vilna Governorate was an administrative division of the Russian Empire in the 19th and early 20th centuries, centered on the historic city of Vilnius in the region of present-day Lithuania and Belarus.
  • B. Grodno Governorate
    Grodno Governorate was a historical administrative region of the Russian Empire in present-day Belarus and parts of neighboring countries, notable as the birthplace of L. L. Zamenhof, the creator of Esperanto.
  • C. Mogilev Governorate
    Mogilev Governorate was an administrative division of the Russian Empire located in the historical region of eastern Belarus.
  • D. Vitebsk
    Vitebsk is a historic city in northeastern Belarus known as a major cultural center and the birthplace of artist Marc Chagall.
  • E. Novopolotsk
    Novopolotsk is an industrial city in northern Belarus known for its major oil refinery and petrochemical complex.
  • 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_69a885f27a4c8190a4622252cdf54c00 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa6213b6a481908f321d1468be436d completed March 6, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad403355f4819084a560226a190b8a completed March 8, 2026, 9:24 a.m.
Created at: March 4, 2026, 7:27 p.m.