Triple

T9576930
Position Surface form Disambiguated ID Type / Status
Subject Haridwar district E231067 entity
Predicate legislativeAssemblyConstituencies P23217 FINISHED
Object Bhagwanpur
Bhagwanpur is a legislative assembly constituency in the Haridwar district of Uttarakhand, India.
 E813719 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: Bhagwanpur | Statement: [Haridwar district, legislativeAssemblyConstituencies, Bhagwanpur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bhagwanpur
Context triple: [Haridwar district, legislativeAssemblyConstituencies, Bhagwanpur]
  • A. Jagdishpur
    Jagdishpur is a town in the Bhojpur district of Bihar, India, historically known as the ancestral estate of the 19th-century freedom fighter Kunwar Singh.
  • B. Mahipalpur
    Mahipalpur is an urban village and commercial area in Delhi, India, located near Indira Gandhi International Airport and known for its hotels, transport hubs, and proximity to major highways.
  • C. Vikrampur
    Vikrampur was a historic urban and political center in the Bengal region, renowned as an important seat of power and culture in medieval South Asia.
  • D. Achalpur
    Achalpur is a historic town in Maharashtra, India, known as one of the oldest cities in the Vidarbha region.
  • E. Ballarpur
    Ballarpur is an industrial town in Maharashtra, India, known particularly for its large paper manufacturing industry.
  • 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: Bhagwanpur
Triple: [Haridwar district, legislativeAssemblyConstituencies, Bhagwanpur]
Generated description
Bhagwanpur is a legislative assembly constituency in the Haridwar district of Uttarakhand, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bhagwanpur
Target entity description: Bhagwanpur is a legislative assembly constituency in the Haridwar district of Uttarakhand, India.
  • A. Jagdishpur
    Jagdishpur is a town in the Bhojpur district of Bihar, India, historically known as the ancestral estate of the 19th-century freedom fighter Kunwar Singh.
  • B. Mahipalpur
    Mahipalpur is an urban village and commercial area in Delhi, India, located near Indira Gandhi International Airport and known for its hotels, transport hubs, and proximity to major highways.
  • C. Vikrampur
    Vikrampur was a historic urban and political center in the Bengal region, renowned as an important seat of power and culture in medieval South Asia.
  • D. Achalpur
    Achalpur is a historic town in Maharashtra, India, known as one of the oldest cities in the Vidarbha region.
  • E. Ballarpur
    Ballarpur is an industrial town in Maharashtra, India, known particularly for its large paper manufacturing industry.
  • 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_69ca848091c48190bc313d6620d09555 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99ac17a48190bb8448394f22b1e9 completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d189ef34c48190974a1a4ca6943a87 completed April 4, 2026, 10 p.m.
NEDg Description generation batch_69d18adf50308190bf1cc9d6dd1d7ea3 completed April 4, 2026, 10:04 p.m.
NED2 Entity disambiguation (via description) batch_69d18b6a2fb0819092ee274310721b50 completed April 4, 2026, 10:06 p.m.
Created at: March 30, 2026, 8:05 p.m.