Triple

T21138804
Position Surface form Disambiguated ID Type / Status
Subject Hazarajat E520878 entity
Predicate alternativeName P39 FINISHED
Object Hazaristan 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: Hazaristan | Statement: [Hazarajat, alternativeName, Hazaristan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hazaristan
Context triple: [Hazarajat, alternativeName, Hazaristan]
  • A. Hazar
    Hazar is a city in Turkmenistan’s Balkan Region, known primarily for its location on the Caspian Sea and its role in the country’s oil and gas industry.
  • B. Hazarajat chosen
    Hazarajat is a mountainous central region of Afghanistan that serves as the traditional homeland of the Hazara people.
  • C. Quhistan
    Quhistan was a historical region in eastern Iran known for its mountainous terrain and as a stronghold of the medieval Nizari Ismailis.
  • D. Tabaristan
    Tabaristan was a historical region along the southern coast of the Caspian Sea in northern Iran, known for its mountainous terrain and relative autonomy during early Islamic and pre-Islamic periods.
  • E. Hazaragi
    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.
  • 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_69e0b50b53048190ae34e8abbe3c5ada completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7235d1c788190a28577a753532b2a completed April 21, 2026, 7:12 a.m.
Created at: April 16, 2026, 2:57 p.m.