Triple

T9821221
Position Surface form Disambiguated ID Type / Status
Subject Daikundi Province E238534 entity
Predicate primaryLanguage P238 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: [Daikundi Province, primaryLanguage, Hazaragi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hazaragi
Context triple: [Daikundi Province, primaryLanguage, 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. Haghi
    Haghi is a masterful and manipulative criminal mastermind and spymaster, best known as the primary antagonist in Fritz Lang’s silent espionage film "Spies."
  • D. Razihi
    Razihi is a highly divergent Arabic-related language spoken by a small community in the mountainous Jabal Razih region of northwestern Yemen.
  • E. Mazarati
    Mazarati was a mid-1980s funk and R&B band from the Prince-associated Minneapolis music scene, best known for their connection to The Revolution’s BrownMark and the original version of “Kiss.”
  • 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3147ecc81908cfca84c05a367d9 completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eacbc2348190bac1cc7f41a389b9 completed April 5, 2026, 4:53 a.m.
Created at: March 30, 2026, 8:31 p.m.