Triple

T21662639
Position Surface form Disambiguated ID Type / Status
Subject Tuvans E534630 entity
Predicate region P40 FINISHED
Object Sayan Mountains NE NERFINISHED

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: Sayan Mountains | Statement: [Tuvans, region, Sayan Mountains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sayan Mountains
Context triple: [Tuvans, region, Sayan Mountains]
  • A. Sayan Mountains chosen
    The Sayan Mountains are a rugged mountain range in southern Siberia and northern Mongolia, known for their high peaks, dense taiga forests, and role as a major watershed in Central Asia.
  • B. Altai Mountains
    The Altai Mountains are a remote, high mountain system in Central and East Asia, known for their rugged peaks, rich biodiversity, and role as a natural border between Russia, Mongolia, China, and Kazakhstan.
  • C. Kuznetsk Alatau
    Kuznetsk Alatau is a mountain range in southwestern Siberia, Russia, known for its rugged terrain, rich mineral resources, and extensive taiga and alpine ecosystems.
  • D. Altai
    Altai is a Turkic language spoken primarily in the Altai Republic of Russia, where it holds official status alongside Russian.
  • E. Barguzin Range
    The Barguzin Range is a mountain range in eastern Siberia, Russia, forming part of the landscape around Lake Baikal and serving as an important watershed in the region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c467e1f48190af2650b19175abc4 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef6c0956e0819093b4794418efe052 completed April 27, 2026, 2 p.m.
Created at: April 16, 2026, 6:36 p.m.