Triple

T13661792
Position Surface form Disambiguated ID Type / Status
Subject Ambedkar Nagar district E327014 entity
Predicate hasUrbanCenters P11388 FINISHED
Object Rajesultanpur
Rajesultanpur is a town in the Indian state of Uttar Pradesh known as one of the key urban centers of Ambedkar Nagar district.
E1073535 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: Rajesultanpur | Statement: [Ambedkar Nagar district, hasUrbanCenters, Rajesultanpur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rajesultanpur
Context triple: [Ambedkar Nagar district, hasUrbanCenters, Rajesultanpur]
  • A. Rajgarh
    Rajgarh is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its agricultural economy and historical temples.
  • B. Rajgarh
    Rajgarh is a town in the Indian state of Rajasthan, known as one of the settlements within the Alwar district.
  • C. Sikandarpur
    Sikandarpur is a metro station in the Delhi Metro network that serves the Gurugram area and provides an interchange with the Rapid Metro system.
  • D. Rajpura
    Rajpura is an industrial and commercial town in the Patiala district of Punjab, India, known for its manufacturing base and strategic location as a transport hub.
  • E. Jaisinghpur
    Jaisinghpur is a town located in the Sultanpur district of the Indian state of Uttar Pradesh.
  • 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: Rajesultanpur
Triple: [Ambedkar Nagar district, hasUrbanCenters, Rajesultanpur]
Generated description
Rajesultanpur is a town in the Indian state of Uttar Pradesh known as one of the key urban centers of Ambedkar Nagar district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rajesultanpur
Target entity description: Rajesultanpur is a town in the Indian state of Uttar Pradesh known as one of the key urban centers of Ambedkar Nagar district.
  • A. Rajgarh
    Rajgarh is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its agricultural economy and historical temples.
  • B. Rajgarh
    Rajgarh is a town in the Indian state of Rajasthan, known as one of the settlements within the Alwar district.
  • C. Sikandarpur
    Sikandarpur is a metro station in the Delhi Metro network that serves the Gurugram area and provides an interchange with the Rapid Metro system.
  • D. Rajpura
    Rajpura is an industrial and commercial town in the Patiala district of Punjab, India, known for its manufacturing base and strategic location as a transport hub.
  • E. Jaisinghpur
    Jaisinghpur is a town located in the Sultanpur district of the Indian state of Uttar Pradesh.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc620df208190afaccf3ddd10aa60 completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac7c8bbc81908c7aa15c6892be34 completed May 6, 2026, 9:02 p.m.
NEDg Description generation batch_69fbb00b50208190be68a22ae90ef113 completed May 6, 2026, 9:18 p.m.
NED2 Entity disambiguation (via description) batch_69fbb082c6988190ac679f09449c133d completed May 6, 2026, 9:20 p.m.
Created at: April 9, 2026, 9:52 p.m.