Triple

T166636
Position Surface form Disambiguated ID Type / Status
Subject Case Blue E3029 entity
Predicate location P40 FINISHED
Object Caucasus region E2583 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: Caucasus region | Statement: [Case Blue, location, Caucasus region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caucasus region
Context triple: [Case Blue, location, Caucasus region]
  • A. 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.
  • B. North Caucasus
    The North Caucasus is a mountainous region in southern Russia known for its diverse ethnic groups, complex political history, and location between the Black and Caspian Seas.
  • C. Caucasus chosen
    The Caucasus is a strategically vital mountainous region between the Black and Caspian Seas, historically contested by empires and known as a major crossroads of Europe and Asia.
  • D. Dagestan
    Dagestan is a mountainous republic in the North Caucasus region of Russia, known for its ethnic diversity, complex history, and strategic location along the Caspian Sea.
  • E. Svaneti
    Svaneti is a remote mountainous region in northwestern Georgia, renowned for its medieval stone tower houses, unique Svan culture and language, and dramatic Caucasus landscapes.
  • 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_69a2524ce1e48190ab066bf72859f474 completed Feb. 28, 2026, 2:26 a.m.
NER Named-entity recognition batch_69a25884c8d88190bc4cb4e3541e8116 completed Feb. 28, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69a31c8fe0ec81908e96c597c5f949b7 completed Feb. 28, 2026, 4:49 p.m.
Created at: Feb. 28, 2026, 2:34 a.m.