Triple

T16475801
Position Surface form Disambiguated ID Type / Status
Subject Kurux E400183 entity
Predicate hasDialect P4251 FINISHED
Object Kisan
Kisan is a dialect of the Kurux (Oraon) language spoken by indigenous communities in parts of eastern India.
E1215891 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: Kisan | Statement: [Kurux, hasDialect, Kisan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kisan
Context triple: [Kurux, hasDialect, Kisan]
  • A. DD Kisan
    DD Kisan is an Indian public television channel dedicated to agriculture and rural issues, providing information and programming for farmers and rural communities.
  • B. Ravi Kisan
    Ravi Kisan is an Indian actor and politician best known for his work in Bhojpuri cinema as well as Hindi films and television.
  • C. Ram Baran
    Ram Baran is the given name of Ram Baran Yadav, the first president of Nepal.
  • D. Sahoo
    Sahoo is an Indian surname, particularly common in eastern India, associated with various communities and often linked to mercantile or administrative occupations.
  • E. Shyam
    Shyam is the young protagonist of the classic Marathi autobiographical novel "Shyamchi Aai," depicting his deep bond with his mother and his moral and emotional growth.
  • 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: Kisan
Triple: [Kurux, hasDialect, Kisan]
Generated description
Kisan is a dialect of the Kurux (Oraon) language spoken by indigenous communities in parts of eastern India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kisan
Target entity description: Kisan is a dialect of the Kurux (Oraon) language spoken by indigenous communities in parts of eastern India.
  • A. DD Kisan
    DD Kisan is an Indian public television channel dedicated to agriculture and rural issues, providing information and programming for farmers and rural communities.
  • B. Ravi Kisan
    Ravi Kisan is an Indian actor and politician best known for his work in Bhojpuri cinema as well as Hindi films and television.
  • C. Ram Baran
    Ram Baran is the given name of Ram Baran Yadav, the first president of Nepal.
  • D. Sahoo
    Sahoo is an Indian surname, particularly common in eastern India, associated with various communities and often linked to mercantile or administrative occupations.
  • E. Shyam
    Shyam is the young protagonist of the classic Marathi autobiographical novel "Shyamchi Aai," depicting his deep bond with his mother and his moral and emotional growth.
  • 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32dd43cf88190881a5cbc80da1490 completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f5f238881909b5f2fb41da3f932 completed May 10, 2026, 9:26 a.m.
NEDg Description generation batch_6a00509164cc8190a381ba0a1de95ed1 completed May 10, 2026, 9:32 a.m.
NED2 Entity disambiguation (via description) batch_6a005447f1948190a939c0051891e444 completed May 10, 2026, 9:47 a.m.
Created at: April 10, 2026, 5:13 a.m.