Triple

T13071038
Position Surface form Disambiguated ID Type / Status
Subject Banda district E329455 entity
Predicate hasSettlement P1068 FINISHED
Object Naraini
Naraini is a town and administrative subdivision located in the Banda district of Uttar Pradesh, India.
E1020448 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: Naraini | Statement: [Banda district, hasSettlement, Naraini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naraini
Context triple: [Banda district, hasSettlement, Naraini]
  • A. Maheshwari
    Maheshwari is a Hindu goddess form of Mahadevi, revered as a supreme mother deity and embodiment of divine feminine power.
  • B. Ramavati
    Ramavati was a principal urban center that served as the capital city of the medieval Pala Empire in the Indian subcontinent.
  • C. Naraina
    Naraina is a locality in West Delhi, India, known for its mix of residential areas and industrial estates and its location along major city transport routes.
  • D. Sulochana
    Sulochana is a celebrated Nepali epic poem by Laxmi Prasad Devkota, renowned for its poetic depth and cultural significance in Nepali literature.
  • E. Sharda
    Sharda is a scenic town and tourist destination in Pakistan-administered Azad Kashmir, known for its lush mountain landscapes and the historic ruins of the ancient Sharda University and temple.
  • 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: Naraini
Triple: [Banda district, hasSettlement, Naraini]
Generated description
Naraini is a town and administrative subdivision located in the Banda district of Uttar Pradesh, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Naraini
Target entity description: Naraini is a town and administrative subdivision located in the Banda district of Uttar Pradesh, India.
  • A. Maheshwari
    Maheshwari is a Hindu goddess form of Mahadevi, revered as a supreme mother deity and embodiment of divine feminine power.
  • B. Ramavati
    Ramavati was a principal urban center that served as the capital city of the medieval Pala Empire in the Indian subcontinent.
  • C. Naraina
    Naraina is a locality in West Delhi, India, known for its mix of residential areas and industrial estates and its location along major city transport routes.
  • D. Sulochana
    Sulochana is a celebrated Nepali epic poem by Laxmi Prasad Devkota, renowned for its poetic depth and cultural significance in Nepali literature.
  • E. Sharda
    Sharda is a scenic town and tourist destination in Pakistan-administered Azad Kashmir, known for its lush mountain landscapes and the historic ruins of the ancient Sharda University and temple.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980ee6130819095d835e7ff6a8c5b completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d60510dc81909e0cba8b63a50d9c completed May 3, 2026, 4:58 a.m.
NEDg Description generation batch_69f6dbb4b8848190825102be81ff693a completed May 3, 2026, 5:23 a.m.
NED2 Entity disambiguation (via description) batch_69f6dc705f28819087e5d374f83d3acc completed May 3, 2026, 5:26 a.m.
Created at: April 9, 2026, 9 p.m.