Triple

T21657643
Position Surface form Disambiguated ID Type / Status
Subject Levan of Kakheti E534507 entity
Predicate spouse P13 FINISHED
Object Khurashan
Khurashan was a Georgian noblewoman known primarily as the wife of King Levan of Kakheti in the 16th century.
 E1496038 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: Khurashan | Statement: [Levan of Kakheti, spouse, Khurashan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Khurashan
Context triple: [Levan of Kakheti, spouse, Khurashan]
  • A. Khorasan
    Khorasan is a historical region in northeastern Iran and surrounding areas that served as a major cultural and political center in various Persian and Islamic empires.
  • B. Tushpa
    Tushpa was the ancient fortified city on the eastern shore of Lake Van that served as the political and cultural center of the Kingdom of Urartu in the early first millennium BCE.
  • C. Balkh
    Balkh is an ancient city in northern Afghanistan, historically a major center of Persian culture, trade, and Islamic scholarship.
  • D. Sistan
    Sistan is a historical and geographical region in southeastern Iran and southwestern Afghanistan, known for its arid climate, ancient civilizations, and strategic location along historic trade routes.
  • E. Sogdia
    Sogdia was an ancient Iranian-speaking region in Central Asia, renowned as a key hub of trade and culture along the Silk Road.
  • 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: Khurashan
Triple: [Levan of Kakheti, spouse, Khurashan]
Generated description
Khurashan was a Georgian noblewoman known primarily as the wife of King Levan of Kakheti in the 16th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Khurashan
Target entity description: Khurashan was a Georgian noblewoman known primarily as the wife of King Levan of Kakheti in the 16th century.
  • A. Khorasan
    Khorasan is a historical region in northeastern Iran and surrounding areas that served as a major cultural and political center in various Persian and Islamic empires.
  • B. Tushpa
    Tushpa was the ancient fortified city on the eastern shore of Lake Van that served as the political and cultural center of the Kingdom of Urartu in the early first millennium BCE.
  • C. Balkh
    Balkh is an ancient city in northern Afghanistan, historically a major center of Persian culture, trade, and Islamic scholarship.
  • D. Sistan
    Sistan is a historical and geographical region in southeastern Iran and southwestern Afghanistan, known for its arid climate, ancient civilizations, and strategic location along historic trade routes.
  • E. Sogdia
    Sogdia was an ancient Iranian-speaking region in Central Asia, renowned as a key hub of trade and culture along the Silk Road.
  • 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_69e0c467e1f48190af2650b19175abc4 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef5919c9c88190a2ddcf2cefee79a5 completed April 27, 2026, 12:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a159a54708190ab9477dbcf1bfb2a completed May 17, 2026, 7:23 p.m.
NEDg Description generation batch_6a0a17c8879881909f810d965ef41061 completed May 17, 2026, 7:32 p.m.
NED2 Entity disambiguation (via description) batch_6a0a1855a75c8190bd810d94637df913 completed May 17, 2026, 7:34 p.m.
Created at: April 16, 2026, 6:36 p.m.