Triple

T4253498
Position Surface form Disambiguated ID Type / Status
Subject Southern Punjab, Pakistan E95914 entity
Predicate hasMajorCity P316 FINISHED
Object Jampur
Jampur is a city in southern Punjab, Pakistan, known as a regional urban center with agricultural and commercial significance.
E423415 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: Jampur | Statement: [Southern Punjab, Pakistan, hasMajorCity, Jampur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jampur
Context triple: [Southern Punjab, Pakistan, hasMajorCity, Jampur]
  • A. Jainagar
    Jainagar is a town in the Madhubani district of Bihar, India, known for its location near the Nepal border and its role as a local transport and trade hub.
  • B. Gujba
    Gujba is a local government area and town in northeastern Nigeria, known for its predominantly rural communities and location within Yobe State.
  • C. Indrapura
    Indrapura was a prominent historical capital city of the Champa kingdom in what is now central Vietnam.
  • D. Vikrampura
    Vikrampura was an important historical city that served as a principal royal center of the medieval Indian Pala dynasty in eastern India.
  • E. Alipurduar
    Alipurduar is a town in northeastern West Bengal, India, known as a gateway to the Dooars region and several nearby wildlife sanctuaries and national parks.
  • 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: Jampur
Triple: [Southern Punjab, Pakistan, hasMajorCity, Jampur]
Generated description
Jampur is a city in southern Punjab, Pakistan, known as a regional urban center with agricultural and commercial significance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jampur
Target entity description: Jampur is a city in southern Punjab, Pakistan, known as a regional urban center with agricultural and commercial significance.
  • A. Jainagar
    Jainagar is a town in the Madhubani district of Bihar, India, known for its location near the Nepal border and its role as a local transport and trade hub.
  • B. Gujba
    Gujba is a local government area and town in northeastern Nigeria, known for its predominantly rural communities and location within Yobe State.
  • C. Indrapura
    Indrapura was a prominent historical capital city of the Champa kingdom in what is now central Vietnam.
  • D. Vikrampura
    Vikrampura was an important historical city that served as a principal royal center of the medieval Indian Pala dynasty in eastern India.
  • E. Alipurduar
    Alipurduar is a town in northeastern West Bengal, India, known as a gateway to the Dooars region and several nearby wildlife sanctuaries and national parks.
  • 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_69b3453f759881909b91f01a1e82c036 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34ebe6fbc8190a89269b478b3f435 completed March 12, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a8845e6081908bbf1aef2a2da754 completed March 14, 2026, 6:27 p.m.
NEDg Description generation batch_69b5a8f374fc8190830286dfadc9bdbb completed March 14, 2026, 6:29 p.m.
NED2 Entity disambiguation (via description) batch_69b5a99c9310819084b973aecb1886fe completed March 14, 2026, 6:31 p.m.
Created at: March 12, 2026, 11:06 p.m.