Triple

T4986854
Position Surface form Disambiguated ID Type / Status
Subject Braj region E112023 entity
Predicate containsCity P294 FINISHED
Object Nagar
Nagar is a town in India’s historic Braj region, an area closely associated with the life and legends of Lord Krishna.
E484340 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: Nagar | Statement: [Braj region, containsCity, Nagar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nagar
Context triple: [Braj region, containsCity, Nagar]
  • A. Mahanagar
    Mahanagar is a 1963 Bengali drama film by Satyajit Ray that explores the social and familial tensions arising when a middle-class housewife takes up employment in Calcutta.
  • B. Modinagar
    Modinagar is an industrial and educational town in the Indian state of Uttar Pradesh, historically known for its textile and sugar mills.
  • C. Kausalya Nagar
    Kausalya Nagar is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
  • D. Samyabadi
    Samyabadi is a revolutionary Bengali poem by Kazi Nazrul Islam that powerfully expresses themes of equality, rebellion, and social justice.
  • E. Ashoknagar
    Ashoknagar is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its agricultural economy and regional trade.
  • 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: Nagar
Triple: [Braj region, containsCity, Nagar]
Generated description
Nagar is a town in India’s historic Braj region, an area closely associated with the life and legends of Lord Krishna.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nagar
Target entity description: Nagar is a town in India’s historic Braj region, an area closely associated with the life and legends of Lord Krishna.
  • A. Mahanagar
    Mahanagar is a 1963 Bengali drama film by Satyajit Ray that explores the social and familial tensions arising when a middle-class housewife takes up employment in Calcutta.
  • B. Modinagar
    Modinagar is an industrial and educational town in the Indian state of Uttar Pradesh, historically known for its textile and sugar mills.
  • C. Kausalya Nagar
    Kausalya Nagar is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
  • D. Samyabadi
    Samyabadi is a revolutionary Bengali poem by Kazi Nazrul Islam that powerfully expresses themes of equality, rebellion, and social justice.
  • E. Ashoknagar
    Ashoknagar is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its agricultural economy and regional trade.
  • 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_69bd441be7bc8190b530362d427b97d2 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd727c25bc8190b72f6ddd3772c80a completed March 20, 2026, 4:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be8a20a8f88190980409794c90461f completed March 21, 2026, 12:08 p.m.
NEDg Description generation batch_69be8b66c01c81908d5a06e4db395863 completed March 21, 2026, 12:13 p.m.
NED2 Entity disambiguation (via description) batch_69be8be2ab388190b8e4903d299e3a34 completed March 21, 2026, 12:15 p.m.
Created at: March 20, 2026, 1:34 p.m.