Triple

T18053640
Position Surface form Disambiguated ID Type / Status
Subject Holocaust in Motal E431981 entity
Predicate location P40 FINISHED
Object Pinsk District 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: Pinsk District | Statement: [Holocaust in Motal, location, Pinsk District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pinsk District
Context triple: [Holocaust in Motal, location, Pinsk District]
  • A. Pinsk District chosen
    Pinsk District is an administrative district in the Brest Region of southwestern Belarus, centered around the city of Pinsk and known for its location in the Polesia marshland area.
  • B. Slutsk District
    Slutsk District is an administrative district in central Belarus, known for its historical town of Slutsk and its location within the Minsk Region.
  • C. Dzyarzhynsk District
    Dzyarzhynsk District is an administrative district in Belarus known for containing Dzyarzhynskaya Hara, the country’s highest point.
  • D. Minsk District
    Minsk District is an administrative district in Belarus that surrounds, but does not include, the city of Minsk and serves as a key suburban and economic area of the Minsk Region.
  • E. Gomelsky District
    Gomelsky District is an administrative district centered around the city of Gomel in southeastern Belarus.
  • 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4c100e7e4819084470c5b7fced334 completed April 19, 2026, 11:48 a.m.
Created at: April 10, 2026, 10:26 a.m.