Triple

T21591099
Position Surface form Disambiguated ID Type / Status
Subject کٲشُر E532780 entity
Predicate hasExonym P4705 FINISHED
Object Koshur
Koshur is an exonym commonly used in English to refer to the Kashmiri language and its speakers from the Kashmir region.
 E1492070 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: Koshur | Statement: [کٲشُر, hasExonym, Koshur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Koshur
Context triple: [کٲشُر, hasExonym, Koshur]
  • A. 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.
  • B. Kennyo
    Kennyo was a 16th-century Japanese Jōdo Shinshū Buddhist monk and militant leader who headed the Ishiyama Hongan-ji fortress and resisted Oda Nobunaga’s unification efforts.
  • C. Yalpukh
    Yalpukh is a large freshwater lake in southwestern Ukraine, known as one of the biggest natural lakes in the Danube Delta region.
  • D. Kashirin
    Kashirin is a Russian masculine surname commonly used in Slavic-speaking countries.
  • E. Chazhashi
    Chazhashi is a historic village in Georgia’s Svaneti region, renowned for its medieval stone towers and traditional mountain architecture.
  • 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: Koshur
Triple: [کٲشُر, hasExonym, Koshur]
Generated description
Koshur is an exonym commonly used in English to refer to the Kashmiri language and its speakers from the Kashmir region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Koshur
Target entity description: Koshur is an exonym commonly used in English to refer to the Kashmiri language and its speakers from the Kashmir region.
  • A. 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.
  • B. Kennyo
    Kennyo was a 16th-century Japanese Jōdo Shinshū Buddhist monk and militant leader who headed the Ishiyama Hongan-ji fortress and resisted Oda Nobunaga’s unification efforts.
  • C. Yalpukh
    Yalpukh is a large freshwater lake in southwestern Ukraine, known as one of the biggest natural lakes in the Danube Delta region.
  • D. Kashirin
    Kashirin is a Russian masculine surname commonly used in Slavic-speaking countries.
  • E. Chazhashi
    Chazhashi is a historic village in Georgia’s Svaneti region, renowned for its medieval stone towers and traditional mountain architecture.
  • 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_69e0c46251648190876f0427cf2d321b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eefaddc8508190950b31e2df865ad1 completed April 27, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09f681f8a08190965cf2c3b12eb134 completed May 17, 2026, 5:10 p.m.
NEDg Description generation batch_6a09f85e21948190a6563d309c349f78 completed May 17, 2026, 5:18 p.m.
NED2 Entity disambiguation (via description) batch_6a09f8d30ff08190b3bc6c45f7b5257b completed May 17, 2026, 5:20 p.m.
Created at: April 16, 2026, 6:32 p.m.