Triple

T127597
Position Surface form Disambiguated ID Type / Status
Subject Caucasus E2583 entity
Predicate hasPart P35 FINISHED
Object Greater Caucasus 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: Greater Caucasus | Statement: [Caucasus, hasPart, Greater Caucasus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greater Caucasus
Context triple: [Caucasus, hasPart, Greater Caucasus]
  • A. 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.
  • B. Kolyma Mountains
    The Kolyma Mountains are a remote, rugged mountain range in northeastern Siberia, known for their harsh climate, permafrost landscapes, and proximity to the historically infamous Kolyma region.
  • C. Guria
    Guria is a historical region in western Georgia known for its Black Sea coastline, rich folk traditions, and distinctive polyphonic singing.
  • D. 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.
  • E. Verkhoyansk Range
    The Verkhoyansk Range is a remote mountain chain in northeastern Siberia known for its extreme cold climate and rugged, sparsely populated terrain.
  • 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_69a2520c0f3481908b0ed054a2fca8d0 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a25763ccf8819094e8dffb2ff98480 completed Feb. 28, 2026, 2:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2c938950081909990f481604ea022 completed Feb. 28, 2026, 10:53 a.m.
Created at: Feb. 28, 2026, 2:30 a.m.