Triple

T3662830
Position Surface form Disambiguated ID Type / Status
Subject Sikandra E77689 entity
Predicate locatedNear P294 FINISHED
Object Khandari
Khandari is a locality in Agra, India, known for its educational institutions and proximity to the historic Sikandra area.
E377844 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: Khandari | Statement: [Sikandra, locatedNear, Khandari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khandari
Context triple: [Sikandra, locatedNear, Khandari]
  • A. Kalgidhar
    Kalgidhar is an honorific epithet of Guru Gobind Singh, emphasizing his revered status as a timeless, divine protector in Sikh tradition.
  • B. Shadharwan
    Shadharwan is the sloped stone base or foundation that runs along the lower exterior walls of the Kaaba in Mecca.
  • C. Kusumagraj
    Kusumagraj was the pen name of Vishnu Vaman Shirwadkar, a renowned Marathi poet, playwright, and writer celebrated for his contributions to modern Marathi literature and social activism.
  • D. Dhundhari
    Dhundhari is an Indo-Aryan language spoken primarily in and around Jaipur and adjoining regions of Rajasthan, India.
  • E. Dhondu Pant
    Dhondu Pant, better known as Nana Sahib, was a prominent leader of the Indian Rebellion of 1857 who played a key role in the uprising against British rule in Kanpur.
  • 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: Khandari
Triple: [Sikandra, locatedNear, Khandari]
Generated description
Khandari is a locality in Agra, India, known for its educational institutions and proximity to the historic Sikandra area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Khandari
Target entity description: Khandari is a locality in Agra, India, known for its educational institutions and proximity to the historic Sikandra area.
  • A. Kalgidhar
    Kalgidhar is an honorific epithet of Guru Gobind Singh, emphasizing his revered status as a timeless, divine protector in Sikh tradition.
  • B. Shadharwan
    Shadharwan is the sloped stone base or foundation that runs along the lower exterior walls of the Kaaba in Mecca.
  • C. Kusumagraj
    Kusumagraj was the pen name of Vishnu Vaman Shirwadkar, a renowned Marathi poet, playwright, and writer celebrated for his contributions to modern Marathi literature and social activism.
  • D. Dhundhari
    Dhundhari is an Indo-Aryan language spoken primarily in and around Jaipur and adjoining regions of Rajasthan, India.
  • E. Dhondu Pant
    Dhondu Pant, better known as Nana Sahib, was a prominent leader of the Indian Rebellion of 1857 who played a key role in the uprising against British rule in Kanpur.
  • 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3fcd910819082012b10b23860aa completed March 8, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48846af9881909d71d63b8bd8d141 completed March 13, 2026, 9:57 p.m.
NEDg Description generation batch_69b4898cae348190871b63b8aabef963 completed March 13, 2026, 10:02 p.m.
NED2 Entity disambiguation (via description) batch_69b4af2032188190b29939d5dc19ccd1 completed March 14, 2026, 12:43 a.m.
Created at: March 8, 2026, 3:25 p.m.