Triple

T14171768
Position Surface form Disambiguated ID Type / Status
Subject Transbaikal E351224 entity
Predicate historicallyInhabitedBy P3032 FINISHED
Object Evenks E143183 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: Evenks | Statement: [Transbaikal, historicallyInhabitedBy, Evenks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evenks
Context triple: [Transbaikal, historicallyInhabitedBy, Evenks]
  • A. Evenks chosen
    The Evenks are an Indigenous Tungusic people of northern Asia known for their traditional reindeer herding, hunting lifestyle, and rich shamanistic cultural heritage.
  • B. Akhasheni
    Akhasheni is a Georgian red wine appellation from the Kakheti region, known for its naturally semi-sweet wines made primarily from Saperavi grapes.
  • C. Torguts
    The Torguts are a subgroup of the Oirat Mongols historically known for their westward migration to the Volga region and the formation of the Kalmyk Khanate.
  • D. Ennesi
    Ennesi are the inhabitants or natives of the city of Enna in central Sicily, Italy.
  • E. Lules
    Lules is a town in northwestern Argentina known for its agricultural production and proximity to the provincial capital of San Miguel de Tucumán.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b5dcbc8190b0cfcce5e6c6d582 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf808e6088190a607903be0f2adc7 completed May 7, 2026, 8:37 p.m.
Created at: April 10, 2026, 1:01 a.m.