Triple

T87192
Position Surface form Disambiguated ID Type / Status
Subject Russian Civil War E1752 entity
Predicate location P40 FINISHED
Object Central Asia E6958 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: Central Asia | Statement: [Russian Civil War, location, Central Asia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Asia
Context triple: [Russian Civil War, location, Central Asia]
  • A. Central Asia chosen
    Central Asia is a vast, landlocked region of Eurasia characterized by its historical Silk Road crossroads, diverse Turkic, Persian, and Russian cultural influences, and predominantly steppe and desert landscapes.
  • B. Eurasia
    Eurasia is the vast combined continental landmass of Europe and Asia, forming the largest continuous land area on Earth.
  • C. South Caucasus
    The South Caucasus is a geopolitically significant region at the crossroads of Eastern Europe and Western Asia, typically comprising Armenia, Azerbaijan, and Georgia.
  • D. Siberia
    Siberia is a vast, sparsely populated region in northern Asia known for its harsh climate, rich natural resources, and historical role as a place of exile and major battleground during the Russian Civil War.
  • E. Asia
    Asia is the world’s largest and most populous continent, encompassing diverse cultures, languages, and landscapes across the Eastern and Northern Hemispheres.
  • 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_69a24c8150408190910a693eb51c1f71 completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a24f50e004819083f5bfccd597a312 completed Feb. 28, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2ee865f00819098ea55851216de2d completed Feb. 28, 2026, 1:32 p.m.
Created at: Feb. 28, 2026, 2:06 a.m.