Triple

T12806825
Position Surface form Disambiguated ID Type / Status
Subject Bundi district E306164 entity
Predicate hasTown P847 FINISHED
Object Keshoraipatan
Keshoraipatan is a historic town in Rajasthan, India, known for its ancient temples and scenic location on the banks of the Chambal River.
E1024217 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: Keshoraipatan | Statement: [Bundi district, hasTown, Keshoraipatan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keshoraipatan
Context triple: [Bundi district, hasTown, Keshoraipatan]
  • A. Rupnagar
    Rupnagar is a historic town in the Indian state of Punjab, known as one of the earliest Indus Valley Civilization sites and an important regional administrative and cultural center.
  • B. Kundalpur
    Kundalpur is a historically significant Jain pilgrimage site in India, revered as the birthplace of Lord Mahavira.
  • C. Randhawa
    Randhawa is an Indian-origin Punjabi surname notably borne by American politician Nikki Haley.
  • D. Khatkar Kalan
    Khatkar Kalan is a village in Punjab, India, best known as the ancestral home of freedom fighter Bhagat Singh and a site of memorials dedicated to his legacy.
  • E. Chandanpura
    Chandanpura is a locality in Chittagong, Bangladesh, known for its historic architecture and urban commercial activity.
  • 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: Keshoraipatan
Triple: [Bundi district, hasTown, Keshoraipatan]
Generated description
Keshoraipatan is a historic town in Rajasthan, India, known for its ancient temples and scenic location on the banks of the Chambal River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Keshoraipatan
Target entity description: Keshoraipatan is a historic town in Rajasthan, India, known for its ancient temples and scenic location on the banks of the Chambal River.
  • A. Rupnagar
    Rupnagar is a historic town in the Indian state of Punjab, known as one of the earliest Indus Valley Civilization sites and an important regional administrative and cultural center.
  • B. Kundalpur
    Kundalpur is a historically significant Jain pilgrimage site in India, revered as the birthplace of Lord Mahavira.
  • C. Randhawa
    Randhawa is an Indian-origin Punjabi surname notably borne by American politician Nikki Haley.
  • D. Khatkar Kalan
    Khatkar Kalan is a village in Punjab, India, best known as the ancestral home of freedom fighter Bhagat Singh and a site of memorials dedicated to his legacy.
  • E. Chandanpura
    Chandanpura is a locality in Chittagong, Bangladesh, known for its historic architecture and urban commercial activity.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e7f370c8190b3fc39c1b63394c6 completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eac829ec8190bea8efdc93151aa0 completed May 3, 2026, 6:27 a.m.
NEDg Description generation batch_69f6ebb1cd208190970ad8c21e852d93 completed May 3, 2026, 6:31 a.m.
NED2 Entity disambiguation (via description) batch_69f6ec48035881909342b57c061a22a9 completed May 3, 2026, 6:33 a.m.
Created at: April 9, 2026, 5:31 p.m.