Triple

T12217919
Position Surface form Disambiguated ID Type / Status
Subject Kannauj E291133 entity
Predicate regionalLanguage P237 FINISHED
Object Kannauji
Kannauji is an Indo-Aryan language spoken primarily in and around the Kannauj region of Uttar Pradesh in northern India.
E291133 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: Kannauji | Statement: [Kannauj, regionalLanguage, Kannauji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kannauji
Context triple: [Kannauj, regionalLanguage, Kannauji]
  • A. Kannauj
    Kannauj is a historic town and parliamentary constituency in Uttar Pradesh, India, renowned for its ancient heritage and traditional perfume (attar) industry.
  • B. Karauli
    Karauli is a historic town and pilgrimage center in the Indian state of Rajasthan, known for its ancient temples and distinctive red sandstone architecture.
  • C. Anupgarh
    Anupgarh is a town in the Ganganagar district of Rajasthan, India, known for its agricultural surroundings and proximity to the India–Pakistan border.
  • D. Partapur
    Partapur is a locality in Meerut district of Uttar Pradesh, India, known for its proximity to the Dr. Bhimrao Ambedkar Airstrip and its growing urban and institutional development.
  • E. Daryapur
    Daryapur is a town in the Amravati district of Maharashtra, India, known for its agricultural economy and regional market activities.
  • 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: Kannauji
Triple: [Kannauj, regionalLanguage, Kannauji]
Generated description
Kannauji is an Indo-Aryan language spoken primarily in and around the Kannauj region of Uttar Pradesh in northern India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kannauji
Target entity description: Kannauji is an Indo-Aryan language spoken primarily in and around the Kannauj region of Uttar Pradesh in northern India.
  • A. Kannauj chosen
    Kannauj is a historic town and parliamentary constituency in Uttar Pradesh, India, renowned for its ancient heritage and traditional perfume (attar) industry.
  • B. Karauli
    Karauli is a historic town and pilgrimage center in the Indian state of Rajasthan, known for its ancient temples and distinctive red sandstone architecture.
  • C. Anupgarh
    Anupgarh is a town in the Ganganagar district of Rajasthan, India, known for its agricultural surroundings and proximity to the India–Pakistan border.
  • D. Partapur
    Partapur is a locality in Meerut district of Uttar Pradesh, India, known for its proximity to the Dr. Bhimrao Ambedkar Airstrip and its growing urban and institutional development.
  • E. Daryapur
    Daryapur is a town in the Amravati district of Maharashtra, India, known for its agricultural economy and regional market activities.
  • F. None of above.

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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c9419d48190b0037fe8edc681c4 completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a8c69308190bffae7b38cc5620b completed May 2, 2026, 4:47 p.m.
NEDg Description generation batch_69f62be354a88190aaf5e8439b33120b completed May 2, 2026, 4:52 p.m.
NED2 Entity disambiguation (via description) batch_69f62c8194d881909db3d320a21f2052 completed May 2, 2026, 4:55 p.m.
Created at: April 8, 2026, 9:51 p.m.