Triple

T17548566
Position Surface form Disambiguated ID Type / Status
Subject Garhwal Himalaya E427391 entity
Predicate languageRegion P387 FINISHED
Object Garhwali language 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: Garhwali language | Statement: [Garhwal Himalaya, languageRegion, Garhwali language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garhwali language
Context triple: [Garhwal Himalaya, languageRegion, Garhwali language]
  • A. Garhwali chosen
    Garhwali is an Indo-Aryan language spoken primarily in the Garhwal region of the Indian state of Uttarakhand.
  • B. Chamba language
    The Chamba language is a Niger-Congo language spoken by the Chamba people of Nigeria and Cameroon.
  • C. Kalasha language
    The Kalasha language is an endangered Indo-Aryan language spoken by the Kalash people in the remote valleys of Chitral District in northern Pakistan.
  • D. Khaling language
    The Khaling language is a Kiranti Sino-Tibetan language spoken by the Khaling ethnic group in eastern Nepal, noted for its complex verbal morphology and rich consonant system.
  • E. Tharu languages
    Tharu languages are a group of closely related Indo-Aryan languages spoken primarily by the Tharu ethnic communities in the Terai region of Nepal and adjoining areas of India.
  • 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e454631e148190a1d46a6ecb79c71a completed April 19, 2026, 4:04 a.m.
Created at: April 10, 2026, 5:49 a.m.