Triple

T23413647
Position Surface form Disambiguated ID Type / Status
Subject Khalaj people E560145 entity
Predicate nativeLanguage P151 FINISHED
Object Khalaj 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: Khalaj language | Statement: [Khalaj people, nativeLanguage, Khalaj language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khalaj language
Context triple: [Khalaj people, nativeLanguage, Khalaj language]
  • A. Khalaj language chosen
    The Khalaj language is a highly conservative Turkic language spoken in central Iran, notable for preserving many archaic features lost in other Turkic languages.
  • B. Karakhani language
    The Karakhani language was a historical Turkic language of the Karluk branch, associated with the Karakhanid Khanate in Central Asia.
  • 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. Dameli language
    The Dameli language is an Indo-Aryan (Dardic) language spoken by a small community in the Damel Valley of Chitral District in northern Pakistan.
  • E. Razihi language
    The Razihi language is a little-documented Semitic language spoken by a small community in northwestern Yemen, notable for preserving archaic features distinct from mainstream Arabic varieties.
  • 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_69e2454b3a5881909c64773dc8a5d289 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a513502881909f33a43bfd5e63a7 completed April 29, 2026, 6:28 a.m.
Created at: April 17, 2026, 5:39 p.m.