Triple

T1442769
Position Surface form Disambiguated ID Type / Status
Subject Alexander Nevsky E31110 entity
Predicate historicalRegion P915 FINISHED
Object Rus' E158473 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: Rus' | Statement: [Alexander Nevsky, historicalRegion, Rus']
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rus'
Context triple: [Alexander Nevsky, historicalRegion, Rus']
  • A. Rus' chosen
    Rus' was a medieval East Slavic state that emerged in Eastern Europe and laid the foundations for the later Russian, Ukrainian, and Belarusian nations.
  • B. Russas
    Russas is a municipality in the northeastern Brazilian state of Ceará, known for its agricultural activities and semi-arid climate.
  • C. Russia
    Russia is the world’s largest country by land area, spanning Eastern Europe and northern Asia and exerting major political, military, and cultural influence globally.
  • D. La Russa
    La Russa is an Italian surname most prominently associated with Hall of Fame Major League Baseball manager Tony La Russa.
  • E. Russian SFSR
    The Russian SFSR was the largest and most influential republic of the former Soviet Union, encompassing much of its political, economic, and cultural center.
  • 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_69a4991633388190a4d61b5a98aa407a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c5320728819095d9ed2439fa7d31 completed March 1, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69adfb8d636c8190a8a9ca29d8a6fd82 completed March 8, 2026, 10:43 p.m.
Created at: March 1, 2026, 8 p.m.