Triple

T11686903
Position Surface form Disambiguated ID Type / Status
Subject Hunza District E277767 entity
Predicate hasLanguage P15 FINISHED
Object Wakhi language E88386 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: Wakhi language | Statement: [Hunza District, hasLanguage, Wakhi language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wakhi language
Context triple: [Hunza District, hasLanguage, Wakhi language]
  • A. 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.
  • B. Khinalug language
    The Khinalug language is a highly endangered Northeast Caucasian language spoken by the Khinalug people in a single mountain village in northern Azerbaijan.
  • C. Khwarshi language
    The Khwarshi language is a Northeast Caucasian (Nakh-Daghestanian) language spoken by a small ethnic group in Dagestan, Russia, known for its complex phonology and rich case system.
  • D. Wakhi chosen
    Wakhi is an Eastern Iranian language traditionally spoken by the Wakhi people in the high mountain regions of Pakistan, Afghanistan, Tajikistan, and China.
  • E. Kharia language
    Kharia language is a Munda language spoken primarily by the Kharia people in eastern India, especially in the states of Jharkhand, Odisha, and Chhattisgarh.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4654be881909bd0256cf18e25de completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef14431f3c81908af9167c46f8c2bc completed April 27, 2026, 7:46 a.m.
Created at: April 8, 2026, 9:40 p.m.