Triple

T1055148
Position Surface form Disambiguated ID Type / Status
Subject Hazaras E22784 entity
Predicate language P15 FINISHED
Object Hazaragi E25382 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: Hazaragi | Statement: [Hazaras, language, Hazaragi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hazaragi
Context triple: [Hazaras, language, Hazaragi]
  • A. Hazaragi chosen
    Hazaragi is a variety of Persian primarily spoken by the Hazara people of central Afghanistan and surrounding regions, distinguished by its unique phonology and significant Turkic and Mongolic influences.
  • B. Hazarajat
    Hazarajat is a mountainous central region of Afghanistan that serves as the traditional homeland of the Hazara people.
  • C. Hazara
    Hazara is a mountainous region in northern Pakistan, known for its diverse ethnic communities, strategic location near the Himalayas, and historical significance under various empires and states.
  • D. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • E. Ihnasya
    Ihnasya is a city in Egypt known for its location within the Beni Suef Governorate along the Nile Valley.
  • 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_69a493da02e081908c13ff5e02a0fe7a completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8d79268819080f3f3f497e91c58 completed March 1, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac53864a20819081fc59e7102a6e00 completed March 7, 2026, 4:34 p.m.
Created at: March 1, 2026, 7:42 p.m.