Triple

T1890141
Position Surface form Disambiguated ID Type / Status
Subject Dnieper E41855 entity
Predicate passesThroughCity P416 FINISHED
Object Mogilev
Mogilev is a major city in eastern Belarus known as an important industrial and cultural center on the Dnieper River.
E220170 NE FINISHED

How this triple was built (4 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: Mogilev | Statement: [Dnieper, passesThroughCity, Mogilev]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mogilev
Context triple: [Dnieper, passesThroughCity, Mogilev]
  • A. Gomel
    Gomel is a major city in southeastern Belarus, serving as an important cultural, industrial, and economic center near the border with Russia and Ukraine.
  • B. Novopolotsk
    Novopolotsk is an industrial city in northern Belarus known for its major oil refinery and petrochemical complex.
  • C. Vitebsk
    Vitebsk is a historic city in northeastern Belarus known as a major cultural center and the birthplace of artist Marc Chagall.
  • D. Minsk
    Minsk is the capital and largest city of Belarus, serving as its political, economic, and cultural center.
  • E. Pinsk
    Pinsk is a historic city in southwestern Belarus, known for its location on the Pina River and its rich cultural and architectural heritage.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mogilev
Triple: [Dnieper, passesThroughCity, Mogilev]
Generated description
Mogilev is a major city in eastern Belarus known as an important industrial and cultural center on the Dnieper River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mogilev
Target entity description: Mogilev is a major city in eastern Belarus known as an important industrial and cultural center on the Dnieper River.
  • A. Gomel
    Gomel is a major city in southeastern Belarus, serving as an important cultural, industrial, and economic center near the border with Russia and Ukraine.
  • B. Novopolotsk
    Novopolotsk is an industrial city in northern Belarus known for its major oil refinery and petrochemical complex.
  • C. Vitebsk
    Vitebsk is a historic city in northeastern Belarus known as a major cultural center and the birthplace of artist Marc Chagall.
  • D. Minsk
    Minsk is the capital and largest city of Belarus, serving as its political, economic, and cultural center.
  • E. Pinsk
    Pinsk is a historic city in southwestern Belarus, known for its location on the Pina River and its rich cultural and architectural heritage.
  • F. None of above. chosen

Provenance (5 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_69a8864b6de0819098d089f6a1b910a7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb14475448190b291ada3454bf98b completed March 7, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfba6e94c8190ad1daafbe7f70a44 completed March 8, 2026, 10:43 p.m.
NEDg Description generation batch_69adfc1a62b48190b01d81718c827abf completed March 8, 2026, 10:45 p.m.
NED2 Entity disambiguation (via description) batch_69adfd713c4081908a2fae2fada76dae completed March 8, 2026, 10:51 p.m.
Created at: March 4, 2026, 7:34 p.m.