Triple

T8669205
Position Surface form Disambiguated ID Type / Status
Subject Western Krai E205752 entity
Predicate capitalCity P204 FINISHED
Object Minsk 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 | Statement: [Western Krai, capitalCity, Minsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minsk
Context triple: [Western Krai, capitalCity, Minsk]
  • A. Minsk chosen
    Minsk is the capital and largest city of Belarus, serving as its political, economic, and cultural center.
  • B. 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.
  • C. 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.
  • D. Mogilev
    Mogilev is a major city in eastern Belarus known as an important industrial and cultural center on the Dnieper River.
  • E. Vilna
    Vilna is the historical name for Vilnius, the capital city of Lithuania and a major cultural and political center of the region.
  • 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_69ca83516ae88190aefe034b3bc589e3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4917cb9881909a73b74e54250613 completed March 31, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6ed1e0548190b02d43c5d7e65e08 completed April 3, 2026, 7:40 a.m.
Created at: March 30, 2026, 6:31 p.m.