Triple

T571151
Position Surface form Disambiguated ID Type / Status
Subject Belarus E13665 entity
Predicate ISO3166-1Alpha3Code P189 FINISHED
Object BLR E13665 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: BLR | Statement: [Belarus, ISO3166-1Alpha3Code, BLR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BLR
Context triple: [Belarus, ISO3166-1Alpha3Code, BLR]
  • A. 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.
  • B. Minsk
    Minsk is the capital and largest city of Belarus, serving as its political, economic, and cultural center.
  • C. Mahilyow
    Mahilyow is a major city in eastern Belarus, serving as an important cultural, economic, and administrative center of the region.
  • D. Belarus chosen
    Belarus is an Eastern European country known for its flat landscapes, dense forests, and historical ties to both the Soviet Union and the broader Slavic cultural sphere.
  • E. 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.
  • 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b483ac08190b3be152a7cf42011 completed March 1, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69a501bdb7cc8190922432fe58cfd6cb completed March 2, 2026, 3:19 a.m.
Created at: March 1, 2026, 7:33 p.m.