Triple

T9313656
Position Surface form Disambiguated ID Type / Status
Subject Belarusian State University E224064 entity
Predicate mainCampusLocation P115 FINISHED
Object central Minsk E791388 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: central Minsk | Statement: [Belarusian State University, mainCampusLocation, central Minsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: central Minsk
Context triple: [Belarusian State University, mainCampusLocation, central Minsk]
  • A. Minsk I
    Minsk I is the informal name for the first Minsk Protocol, a 2014 ceasefire agreement aimed at halting the war in eastern Ukraine between Ukrainian forces and pro-Russian separatists.
  • B. Minsk
    Minsk is the capital and largest city of Belarus, serving as its political, economic, and cultural center.
  • C. Yunost Minsk
    Yunost Minsk is a prominent Belarusian ice hockey club renowned for its multiple international and domestic titles and strong performances in European competitions.
  • D. Upper Town (Minsk) chosen
    Upper Town (Minsk) is the historic center of Belarus’s capital, known for its preserved 17th–19th century architecture, churches, and cultural landmarks.
  • E. Mogilev
    Mogilev is a major city in eastern Belarus known as an important industrial and cultural center on the Dnieper River.
  • 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_69ca8425f4fc81909c1c586e9a5b7530 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd20b048a081909fd7ec0b6b863063 completed April 1, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1220267848190a02d8c075726c97a completed April 4, 2026, 2:36 p.m.
Created at: March 30, 2026, 7:37 p.m.