Triple

T11122534
Position Surface form Disambiguated ID Type / Status
Subject Ruzhany E263052 entity
Predicate locatedIn P40 FINISHED
Object Pruzhany District E493390 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: Pruzhany District | Statement: [Ruzhany, locatedIn, Pruzhany District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pruzhany District
Context triple: [Ruzhany, locatedIn, Pruzhany District]
  • A. Nesvizh District
    Nesvizh District is an administrative district in central Belarus known for the historic town of Nesvizh and its UNESCO-listed Radziwiłł family castle complex.
  • B. Pruzhany chosen
    Pruzhany is a historic town in western Belarus known for its cultural heritage and role as a local administrative and economic center.
  • C. 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.
  • D. Dzyarzhynsk District
    Dzyarzhynsk District is an administrative district in Belarus known for containing Dzyarzhynskaya Hara, the country’s highest point.
  • E. Pinsk District
    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.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79afa0ab88190ab6d61df8cf485ec completed April 9, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69e441d376f8819080effd5bf29c6bc1 completed April 19, 2026, 2:45 a.m.
Created at: April 8, 2026, 9:28 p.m.