Triple

T22281997
Position Surface form Disambiguated ID Type / Status
Subject Khadir District E550755 entity
Predicate region P40 FINISHED
Object Hazarajat 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: Hazarajat | Statement: [Khadir District, region, Hazarajat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hazarajat
Context triple: [Khadir District, region, Hazarajat]
  • A. Hazarajat chosen
    Hazarajat is a mountainous central region of Afghanistan that serves as the traditional homeland of the Hazara people.
  • B. 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.
  • C. 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.
  • D. Hazarajat region
    The Hazarajat region is a mountainous, predominantly Hazara-inhabited area in central Afghanistan known for its remote highlands and distinct cultural identity.
  • E. Hadrut
    Hadrut is a town in the Nagorno-Karabakh region, historically part of the Shusha uezd, known for its strategic location and role in regional conflicts between Armenia and Azerbaijan.
  • 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_69e11e44d538819097c6b8f333af3352 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14eac0994819088e39a1b5d39cf18 completed April 29, 2026, 12:19 a.m.
Created at: April 16, 2026, 8:40 p.m.