Triple

T21138644
Position Surface form Disambiguated ID Type / Status
Subject Central Asian Persian dialects E520875 entity
Predicate hasPart P35 FINISHED
Object Khujand Persian 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: Khujand Persian | Statement: [Central Asian Persian dialects, hasPart, Khujand Persian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khujand Persian
Context triple: [Central Asian Persian dialects, hasPart, Khujand Persian]
  • A. Khodjend chosen
    Khodjend is the former name of Khujand, one of the oldest cities in Central Asia and a major cultural and economic center in northern Tajikistan.
  • B. Birjand
    Birjand is a city in eastern Iran that serves as the capital of South Khorasan Province and is known for its historical forts and saffron production.
  • C. Kashmar
    Kashmar is a city in northeastern Iran known for its agricultural production, especially grapes and raisins, and its location within Razavi Khorasan Province.
  • D. Herat
    Herat is a historic city in western Afghanistan that flourished as a major cultural and political center of the Timurid Empire and a key hub on the Silk Road.
  • E. Kerman
    Kerman is the surname of Piper Kerman, the American author whose memoir inspired the television series "Orange Is the New Black."
  • 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.