Triple

T13075872
Position Surface form Disambiguated ID Type / Status
Subject Barabanki district E329570 entity
Predicate hasTown P847 FINISHED
Object Zaidpur
Zaidpur is a town in the Barabanki district of Uttar Pradesh, India, known for its local markets and traditional crafts.
 E1044923 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: Zaidpur | Statement: [Barabanki district, hasTown, Zaidpur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zaidpur
Context triple: [Barabanki district, hasTown, Zaidpur]
  • A. Daryapur
    Daryapur is a town in the Amravati district of Maharashtra, India, known for its agricultural economy and regional market activities.
  • B. 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.
  • C. Karanpur
    Karanpur is a town located in the Ganganagar district of the northern Indian state of Rajasthan.
  • D. Mominpura
    Mominpura is a locality in Nagpur, Maharashtra, India, known as a densely populated residential and commercial area with a significant Muslim community.
  • E. 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.
  • 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: Zaidpur
Triple: [Barabanki district, hasTown, Zaidpur]
Generated description
Zaidpur is a town in the Barabanki district of Uttar Pradesh, India, known for its local markets and traditional crafts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zaidpur
Target entity description: Zaidpur is a town in the Barabanki district of Uttar Pradesh, India, known for its local markets and traditional crafts.
  • A. Daryapur
    Daryapur is a town in the Amravati district of Maharashtra, India, known for its agricultural economy and regional market activities.
  • B. 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.
  • C. Karanpur
    Karanpur is a town located in the Ganganagar district of the northern Indian state of Rajasthan.
  • D. Mominpura
    Mominpura is a locality in Nagpur, Maharashtra, India, known as a densely populated residential and commercial area with a significant Muslim community.
  • E. 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.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d98117209081908272021013df2222 completed April 10, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75469a3f08190a7e417872147b455 completed May 3, 2026, 1:58 p.m.
NEDg Description generation batch_69f755d330c481909c159d3801c18f59 completed May 3, 2026, 2:04 p.m.
NED2 Entity disambiguation (via description) batch_69f756773b9c81908250ae7ffc2d8d99 completed May 3, 2026, 2:06 p.m.
Created at: April 9, 2026, 9:01 p.m.