Triple

T20429452
Position Surface form Disambiguated ID Type / Status
Subject Nowogródek E501089 entity
Predicate nearbyCity P350 FINISHED
Object Baranavichy 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: Baranavichy | Statement: [Nowogródek, nearbyCity, Baranavichy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baranavichy
Context triple: [Nowogródek, nearbyCity, Baranavichy]
  • A. Baranavichy chosen
    Baranavichy is a significant industrial and railway hub city in western Belarus.
  • B. Borisoglebsk
    Borisoglebsk is a small Russian city known for its historical architecture and location on the Vorona River in southwestern Russia.
  • C. Babruysk
    Babruysk is a historic city in eastern Belarus known as a former major Jewish cultural center and regional industrial hub.
  • D. Bolkhov
    Bolkhov is a historic town in western Russia known for its old churches and traditional architecture within Oryol Oblast.
  • E. Smolevichi
    Smolevichi is a town in Belarus that serves as an administrative and economic center within the Minsk Region.
  • 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_69e0b4aa68fc8190b1a14c55575ef04a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67bac39288190b294b291301ac843 completed April 20, 2026, 7:17 p.m.
Created at: April 16, 2026, 11:31 a.m.