Triple

T21867921
Position Surface form Disambiguated ID Type / Status
Subject Virpur E539928 entity
Predicate hasNameInHindi P57226 FINISHED
Object वीरपुर
वीरपुर भारत में स्थित एक कस्बा/गाँव है, जो अपने स्थानीय सांस्कृतिक और सामाजिक महत्व के लिए जाना जाता है।
 E1504820 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: वीरपुर | Statement: [Virpur, hasNameInHindi, वीरपुर]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: वीरपुर
Context triple: [Virpur, hasNameInHindi, वीरपुर]
  • A. Ishwarpur
    Ishwarpur is a municipality-level city located in Nepal’s Madhesh Province.
  • B. Shankarpur
    Shankarpur is a quiet seaside village and emerging beach destination on the Bay of Bengal in West Bengal, India, known for its fishing harbor and relatively uncrowded shoreline.
  • C. Daryapur
    Daryapur is a town in the Amravati district of Maharashtra, India, known for its agricultural economy and regional market activities.
  • D. Jwalapur
    Jwalapur is a prominent suburban town and commercial hub near Haridwar in the Indian state of Uttarakhand.
  • E. Alirajpur
    Alirajpur is a town and district headquarters in western Madhya Pradesh, India, known for its predominantly tribal population and vibrant indigenous culture.
  • 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: वीरपुर
Triple: [Virpur, hasNameInHindi, वीरपुर]
Generated description
वीरपुर भारत में स्थित एक कस्बा/गाँव है, जो अपने स्थानीय सांस्कृतिक और सामाजिक महत्व के लिए जाना जाता है।
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: वीरपुर
Target entity description: वीरपुर भारत में स्थित एक कस्बा/गाँव है, जो अपने स्थानीय सांस्कृतिक और सामाजिक महत्व के लिए जाना जाता है।
  • A. Ishwarpur
    Ishwarpur is a municipality-level city located in Nepal’s Madhesh Province.
  • B. Shankarpur
    Shankarpur is a quiet seaside village and emerging beach destination on the Bay of Bengal in West Bengal, India, known for its fishing harbor and relatively uncrowded shoreline.
  • C. Pithampur
    Pithampur is an industrial city in the Indian state of Madhya Pradesh, known for its large manufacturing hubs and automotive plants.
  • D. Daryapur
    Daryapur is a town in the Amravati district of Maharashtra, India, known for its agricultural economy and regional market activities.
  • E. Jwalapur
    Jwalapur is a prominent suburban town and commercial hub near Haridwar in the Indian state of Uttarakhand.
  • 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_69e0c478f59081909d54302b57fc1ce3 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0f33305d081908cd070134420607a completed April 28, 2026, 5:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a4be0360c8190b0044adf4e8b921c completed May 17, 2026, 11:14 p.m.
NEDg Description generation batch_6a0a4c9a02bc8190b285694c2710b825 completed May 17, 2026, 11:17 p.m.
NED2 Entity disambiguation (via description) batch_6a0a4d5f55ac819080a30fb30cd72592 completed May 17, 2026, 11:21 p.m.
Created at: April 16, 2026, 6:57 p.m.