Triple

T16184616
Position Surface form Disambiguated ID Type / Status
Subject Burúśaski E392767 entity
Predicate hasAlternativeName P39 FINISHED
Object Khajuna (exonym)
Khajuna is an exonym used to refer to the Burushaski language, a language isolate spoken primarily in northern Pakistan.
 E1199948 NE FINISHED

How this triple was built (4 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: Khajuna (exonym) | Statement: [Burúśaski, hasAlternativeName, Khajuna (exonym)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Khajuna (exonym)
Context triple: [Burúśaski, hasAlternativeName, Khajuna (exonym)]
  • A. Hakha
    Hakha is a hill town in western Myanmar that serves as the administrative and cultural center of the Chin people.
  • B. Khojki
    Khojki is a historical Indic script primarily used by the Nizari Ismaili community of South Asia for religious and literary texts.
  • C. Khaba
    Khaba was an early ancient Egyptian pharaoh of the 3rd Dynasty, best known for his association with the unfinished Layer Pyramid at Zawyet el'Aryan and for the relative obscurity surrounding his reign.
  • D. Khayishan
    Khayishan, better known by his temple name Külüg Khan, was a Yuan dynasty emperor of Mongol China in the early 14th century.
  • E. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Khajuna (exonym)
Triple: [Burúśaski, hasAlternativeName, Khajuna (exonym)]
Generated description
Khajuna is an exonym used to refer to the Burushaski language, a language isolate spoken primarily in northern Pakistan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Khajuna (exonym)
Target entity description: Khajuna is an exonym used to refer to the Burushaski language, a language isolate spoken primarily in northern Pakistan.
  • A. Hakha
    Hakha is a hill town in western Myanmar that serves as the administrative and cultural center of the Chin people.
  • B. Khojki
    Khojki is a historical Indic script primarily used by the Nizari Ismaili community of South Asia for religious and literary texts.
  • C. Khaba
    Khaba was an early ancient Egyptian pharaoh of the 3rd Dynasty, best known for his association with the unfinished Layer Pyramid at Zawyet el'Aryan and for the relative obscurity surrounding his reign.
  • D. Khayishan
    Khayishan, better known by his temple name Külüg Khan, was a Yuan dynasty emperor of Mongol China in the early 14th century.
  • E. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • F. None of above. chosen

Provenance (5 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2205fc080819097858f36253fef7c completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffff0550b48190ac84946b7254552b completed May 10, 2026, 3:44 a.m.
NEDg Description generation batch_6a0000a8a74c8190925c4140cf4a8520 completed May 10, 2026, 3:51 a.m.
NED2 Entity disambiguation (via description) batch_6a0004ceda8c8190a358f58f76116a7f completed May 10, 2026, 4:08 a.m.
Created at: April 10, 2026, 5:02 a.m.