Triple

T15456953
Position Surface form Disambiguated ID Type / Status
Subject Orsha offensives E371794 entity
Predicate location P40 FINISHED
Object Orsha region E215208 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: Orsha region | Statement: [Orsha offensives, location, Orsha region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orsha region
Context triple: [Orsha offensives, location, Orsha region]
  • A. Velbuzhd region
    The Velbuzhd region is a historical area in the Balkans that served as a significant power base for the medieval Serbian noble Dragaš family.
  • B. Orsha chosen
    Orsha is a historic city in eastern Belarus known as a regional transport hub and site of several significant battles.
  • C. Zichenau region
    The Zichenau region was a territory in occupied Poland administered by Nazi Germany during World War II as part of its annexed eastern lands.
  • D. Mogilev Governorate
    Mogilev Governorate was an administrative division of the Russian Empire located in the historical region of eastern Belarus.
  • E. Vitebsk Region
    Vitebsk Region is an administrative region in northeastern Belarus known for its historical cities, cultural heritage, and diverse natural landscapes.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f146a2c8190882741af3ec15268 completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d42977881909ed07b58c029cbe9 completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 3:31 a.m.