Triple

T23395425
Position Surface form Disambiguated ID Type / Status
Subject East Khandesh district E559343 entity
Predicate presentDayMajorCity P48921 FINISHED
Object Faizpur
Faizpur is a town in the Jalgaon district of Maharashtra, India, known historically for hosting the 1937 session of the Indian National Congress.
 E1585316 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: Faizpur | Statement: [East Khandesh district, presentDayMajorCity, Faizpur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Faizpur
Context triple: [East Khandesh district, presentDayMajorCity, Faizpur]
  • A. Sardarpur
    Sardarpur is a town in the Dhar district of Madhya Pradesh, India, known as a local administrative and commercial center near the Sardarpur Wildlife Sanctuary.
  • B. Nawabpur
    Nawabpur is a historic commercial neighborhood in Old Dhaka, Bangladesh, known especially for its bustling hardware and electronics markets.
  • C. Kalhoro
    Kalhoro is a Sindhi tribe historically prominent in the region that provided the ruling family for the Kalhora dynasty in what is now Pakistan.
  • D. Rajanpur
    Rajanpur is a city in Pakistan known as an administrative and commercial center in the southern part of Punjab province.
  • E. Shikarpur
    Shikarpur is a historic city in the Sindh province of Pakistan, known for its old trading heritage and distinctive cultural and architectural traditions.
  • 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: Faizpur
Triple: [East Khandesh district, presentDayMajorCity, Faizpur]
Generated description
Faizpur is a town in the Jalgaon district of Maharashtra, India, known historically for hosting the 1937 session of the Indian National Congress.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Faizpur
Target entity description: Faizpur is a town in the Jalgaon district of Maharashtra, India, known historically for hosting the 1937 session of the Indian National Congress.
  • A. Sardarpur
    Sardarpur is a town in the Dhar district of Madhya Pradesh, India, known as a local administrative and commercial center near the Sardarpur Wildlife Sanctuary.
  • B. Nawabpur
    Nawabpur is a historic commercial neighborhood in Old Dhaka, Bangladesh, known especially for its bustling hardware and electronics markets.
  • C. Kalhoro
    Kalhoro is a Sindhi tribe historically prominent in the region that provided the ruling family for the Kalhora dynasty in what is now Pakistan.
  • D. Rajanpur
    Rajanpur is a city in Pakistan known as an administrative and commercial center in the southern part of Punjab province.
  • E. Shikarpur
    Shikarpur is a historic city in the Sindh province of Pakistan, known for its old trading heritage and distinctive cultural and architectural traditions.
  • 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_69e24549610c8190a069d6411ce5f661 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a4db1c888190ace5d58bcc8645c1 completed April 29, 2026, 6:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c67930004819095efa4bd21a14666 completed May 19, 2026, 1:37 p.m.
NEDg Description generation batch_6a0c7213e19881909151fe5c0560e096 completed May 19, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_6a0c76c54ba08190be8f46bacb22b6a3 completed May 19, 2026, 2:42 p.m.
Created at: April 17, 2026, 5:36 p.m.