Triple

T5460382
Position Surface form Disambiguated ID Type / Status
Subject Hazaragi dialect E122579 entity
Predicate hasAlternativeName P39 FINISHED
Object Hazaregi 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: Hazaregi | Statement: [Hazaragi dialect, hasAlternativeName, Hazaregi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hazaregi
Context triple: [Hazaragi dialect, hasAlternativeName, Hazaregi]
  • 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. Halga
    Halga is a legendary Danish prince from the Old English epic Beowulf, known as one of the Scylding royal brothers.
  • C. Hakitia
    Hakitia is a Judeo-Spanish dialect historically spoken by North African Sephardic Jews, blending Old Spanish with Hebrew and elements of Arabic.
  • D. Horki
    Horki is a town in eastern Belarus known for its agricultural academy and regional administrative significance.
  • E. Hazarajat
    Hazarajat is a mountainous central region of Afghanistan that serves as the traditional homeland of the Hazara people.
  • 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_69bd4643f16081908d7f29e08096115a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9200a3988190a06f253f99e68224 completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf6c6c2454819096da8367f6b94233 completed March 22, 2026, 4:13 a.m.
Created at: March 20, 2026, 2:08 p.m.