Triple

T18182745
Position Surface form Disambiguated ID Type / Status
Subject Vitebsk Region E435331 entity
Predicate hasCity P316 FINISHED
Object Vitebsk NE NERFINISHED

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: Vitebsk | Statement: [Vitebsk Region, hasCity, Vitebsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vitebsk
Context triple: [Vitebsk Region, hasCity, Vitebsk]
  • A. Vitebsk chosen
    Vitebsk is a historic city in northeastern Belarus known as a major cultural center and the birthplace of artist Marc Chagall.
  • B. Novopolotsk
    Novopolotsk is an industrial city in northern Belarus known for its major oil refinery and petrochemical complex.
  • C. Polotsk
    Polotsk is one of the oldest cities in Belarus, historically a major political, cultural, and religious center of the medieval East Slavic world.
  • D. Babruysk
    Babruysk is a historic city in eastern Belarus known as a former major Jewish cultural center and regional industrial hub.
  • E. Mogilev
    Mogilev is a major city in eastern Belarus known as an important industrial and cultural center on the Dnieper River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dffc432c8190af53da5256dc476c completed April 19, 2026, 2 p.m.
Created at: April 10, 2026, 10:31 a.m.