Triple

T12754252
Position Surface form Disambiguated ID Type / Status
Subject Shaheed Bhagat Singh Nagar district E304815 entity
Predicate hasSettlement P1068 FINISHED
Object Banga
Banga is a town in the Shaheed Bhagat Singh Nagar district of Punjab, India, known as a local commercial and educational hub.
E1001820 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: Banga | Statement: [Shaheed Bhagat Singh Nagar district, hasSettlement, Banga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banga
Context triple: [Shaheed Bhagat Singh Nagar district, hasSettlement, Banga]
  • A. Banga
    Banga is a 2012 studio album by American musician and poet Patti Smith that blends rock, poetry, and literary references.
  • B. Banga
    Banga is an Indian-origin surname most prominently associated with Ajay Banga, the business executive and current President of the World Bank.
  • C. Banga
    Banga is a landlocked agricultural municipality in the province of South Cotabato in the Philippines, known for its rice fields and inland resorts.
  • D. Banga
    Banga is a municipality in the province of Aklan in the Philippines, known for its agricultural economy and proximity to the provincial capital, Kalibo.
  • E. Banga
    Banga is a town in present-day Pakistan’s Punjab region, historically notable as the birthplace of Indian revolutionary Bhagat Singh.
  • 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: Banga
Triple: [Shaheed Bhagat Singh Nagar district, hasSettlement, Banga]
Generated description
Banga is a town in the Shaheed Bhagat Singh Nagar district of Punjab, India, known as a local commercial and educational hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Banga
Target entity description: Banga is a town in the Shaheed Bhagat Singh Nagar district of Punjab, India, known as a local commercial and educational hub.
  • A. Banga
    Banga is a town in present-day Pakistan’s Punjab region, historically notable as the birthplace of Indian revolutionary Bhagat Singh.
  • B. Banga
    Banga is a municipality in the province of Aklan in the Philippines, known for its agricultural economy and proximity to the provincial capital, Kalibo.
  • C. Banga
    Banga is a landlocked agricultural municipality in the province of South Cotabato in the Philippines, known for its rice fields and inland resorts.
  • D. Banga
    Banga is an alternative name for the ancient Vanga region, a historical territory in the eastern part of the Indian subcontinent, largely corresponding to present-day Bangladesh and parts of West Bengal.
  • E. Banga
    Banga is an Indian-origin surname most prominently associated with Ajay Banga, the business executive and current President of the World Bank.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d89ea70819098c470344f172167 completed April 10, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684f08fac8190b8c480619696bcd1 completed May 2, 2026, 11:12 p.m.
NEDg Description generation batch_69f6863fada48190afe2ff7896a60094 completed May 2, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69f686bcac94819088782273effbb06a completed May 2, 2026, 11:20 p.m.
Created at: April 9, 2026, 5:27 p.m.