Triple

T6776222
Position Surface form Disambiguated ID Type / Status
Subject Yunost Minsk E155160 entity
Predicate basedIn P40 FINISHED
Object Minsk, Belarus E43503 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: Minsk, Belarus | Statement: [Yunost Minsk, basedIn, Minsk, Belarus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minsk, Belarus
Context triple: [Yunost Minsk, basedIn, Minsk, Belarus]
  • A. Minsk chosen
    Minsk is the capital and largest city of Belarus, serving as its political, economic, and cultural center.
  • B. Brest (Belarus)
    Brest is a city in southwestern Belarus near the Polish border, known as a major transport hub and for the historic Brest Fortress, a key World War II memorial.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69c68812ef7c819099369f51febb725c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d24f77c88190be21cf4ef132aa31 completed March 27, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72f8c0a3481909f33d2252cc1860c completed March 28, 2026, 1:31 a.m.
Created at: March 27, 2026, 2:13 p.m.