Triple

T2497462
Position Surface form Disambiguated ID Type / Status
Subject Vilna Governorate E52184 entity
Predicate containsHistoricCity P3786 FINISHED
Object Vilna E271703 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 | Statement: [Vilna Governorate, containsHistoricCity, Vilna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vilna
Context triple: [Vilna Governorate, containsHistoricCity, Vilna]
  • A. Vilna chosen
    Vilna is the historical name for Vilnius, the capital city of Lithuania and a major cultural and political center of the region.
  • B. Vitebsk
    Vitebsk is a historic city in northeastern Belarus known as a major cultural center and the birthplace of artist Marc Chagall.
  • C. Novopolotsk
    Novopolotsk is an industrial city in northern Belarus known for its major oil refinery and petrochemical complex.
  • D. Hrodna
    Hrodna is a historic city in western Belarus known for its well-preserved architecture and role as a major cultural and economic center of the region.
  • E. Brest (Belarus)
    Brest is a city in southwestern Belarus near the Polish border, known as a major transport hub and for the historic Brest Fortress, a key World War II memorial.
  • 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_69ab4955111c8190835bf619adec21ff completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1ad2f8c81908853e97d75081e84 completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2b8789c88190b0300af1260eb9bd completed March 9, 2026, 8:20 p.m.
Created at: March 6, 2026, 9:46 p.m.