Triple

T15457039
Position Surface form Disambiguated ID Type / Status
Subject Orsha offensive (1944) E371796 entity
Predicate location P40 FINISHED
Object Belarus 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: Belarus | Statement: [Orsha offensive (1944), location, Belarus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belarus
Context triple: [Orsha offensive (1944), location, Belarus]
  • A. 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.
  • B. Belarus–Russia
    Belarus–Russia refers to the shared border area and bilateral relationship between the Republic of Belarus and the Russian Federation, encompassing close political, economic, and cultural ties.
  • C. Belarus and Latvia
    Belarus and Latvia are neighboring Eastern European countries that were selected to jointly host the 2021 IIHF Ice Hockey World Championship.
  • D. Belarus–Poland
    Belarus–Poland refers to the international border region where Belarus and Poland meet, encompassing shared historical, cultural, and ecological landscapes.
  • E. Belorusskaya
    Belorusskaya is a Moscow Metro station that serves as a key transport hub and interchange point near Belorussky railway terminal.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f146a2c8190882741af3ec15268 completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21b7b600819081a6087bd6309237 completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:31 a.m.