Triple

T3826867
Position Surface form Disambiguated ID Type / Status
Subject Brest-Litovsk E88710 entity
Predicate alsoKnownAs P39 FINISHED
Object Brest-Litowsk E88710 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: Brest-Litowsk | Statement: [Brest-Litovsk, alsoKnownAs, Brest-Litowsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brest-Litowsk
Context triple: [Brest-Litovsk, alsoKnownAs, Brest-Litowsk]
  • A. Brest-Litovsk chosen
    Brest-Litovsk is a historic city—now called Brest in modern-day Belarus—best known as the site where Soviet Russia signed a separate peace with the Central Powers in 1918 during World War I.
  • B. Yudenich
    Yudenich is a Russian surname most notably associated with General Nikolai Yudenich, a leading White movement commander during the Russian Civil War.
  • C. Babruysk
    Babruysk is a historic city in eastern Belarus known as a former major Jewish cultural center and regional industrial hub.
  • D. Kattowitz
    Kattowitz (now Katowice) is a major industrial and cultural city in southern Poland, historically part of Upper Silesia and once within the German Empire.
  • E. Jassy
    Jassy is the surname of Andy Jassy, the American business executive and CEO of Amazon.
  • 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_69aed9538cf881909d9ce8ca4ac7c18c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb64c72c8190b5f3d376aa4ee933 completed March 9, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb51e6248190b242f9e498a320d3 completed March 14, 2026, 6:08 a.m.
Created at: March 9, 2026, 3:17 p.m.