Triple

T13168293
Position Surface form Disambiguated ID Type / Status
Subject Udham Singh Nagar E312909 entity
Predicate hasTown P847 FINISHED
Object Bazpur
Bazpur is a town in the Udham Singh Nagar district of Uttarakhand, India, known for its agricultural economy and proximity to the foothills of the Himalayas.
 E1056817 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: Bazpur | Statement: [Udham Singh Nagar, hasTown, Bazpur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bazpur
Context triple: [Udham Singh Nagar, hasTown, Bazpur]
  • A. Daryapur
    Daryapur is a town in the Amravati district of Maharashtra, India, known for its agricultural economy and regional market activities.
  • B. Zaidpur
    Zaidpur is a town in the Barabanki district of Uttar Pradesh, India, known for its local markets and traditional crafts.
  • C. Karanpur
    Karanpur is a town located in the Ganganagar district of the northern Indian state of Rajasthan.
  • D. 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.
  • E. Gadarpur
    Gadarpur is a town in the Udham Singh Nagar district of Uttarakhand, India, known primarily as an agricultural and trading center in the Terai region.
  • 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: Bazpur
Triple: [Udham Singh Nagar, hasTown, Bazpur]
Generated description
Bazpur is a town in the Udham Singh Nagar district of Uttarakhand, India, known for its agricultural economy and proximity to the foothills of the Himalayas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bazpur
Target entity description: Bazpur is a town in the Udham Singh Nagar district of Uttarakhand, India, known for its agricultural economy and proximity to the foothills of the Himalayas.
  • A. Daryapur
    Daryapur is a town in the Amravati district of Maharashtra, India, known for its agricultural economy and regional market activities.
  • B. Zaidpur
    Zaidpur is a town in the Barabanki district of Uttar Pradesh, India, known for its local markets and traditional crafts.
  • C. Karanpur
    Karanpur is a town located in the Ganganagar district of the northern Indian state of Rajasthan.
  • D. 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.
  • E. Gadarpur
    Gadarpur is a town in the Udham Singh Nagar district of Uttarakhand, India, known primarily as an agricultural and trading center in the Terai region.
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c2c317881908cc715c97d915f77 completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d3398b08190a0fc4b6044576e0a completed May 3, 2026, 7:08 p.m.
NEDg Description generation batch_69f79e77b5e88190a85f4061c8abb8a4 completed May 3, 2026, 7:13 p.m.
NED2 Entity disambiguation (via description) batch_69f79fa5249481909b2c046ed9801371 completed May 3, 2026, 7:19 p.m.
Created at: April 9, 2026, 9:13 p.m.