Triple

T15626145
Position Surface form Disambiguated ID Type / Status
Subject صدر آزاد جموں و کشمیر E375683 entity
Predicate seat P75 FINISHED
Object مظفرآباد
مظفرآباد آزاد جموں و کشمیر کا دارالحکومت اور دریائے نیلم و جہلم کے سنگم پر واقع ایک اہم تاریخی و جغرافیائی شہر ہے۔
 E1182248 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: مظفرآباد | Statement: [صدر آزاد جموں و کشمیر, seat, مظفرآباد]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: مظفرآباد
Context triple: [صدر آزاد جموں و کشمیر, seat, مظفرآباد]
  • A. Faisalabad
    Faisalabad is a major industrial city in Pakistan’s Punjab province, known especially for its large textile industry and role as a commercial hub.
  • B. Sargodha
    Sargodha is a major city in central Pakistan known for its air force base and extensive citrus (particularly kinnow) production.
  • C. Bahawalpur
    Bahawalpur is a historic city in southern Punjab, Pakistan, known for its former princely state status, grand palaces, and proximity to the Cholistan Desert.
  • D. Bahawalnagar
    Bahawalnagar is a prominent city in Pakistan’s Punjab province, known as an agricultural and commercial hub near the border with India.
  • E. Khanewal
    Khanewal is a prominent city in Pakistan’s Punjab province, known as an important railway junction and agricultural trade center.
  • 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: مظفرآباد
Triple: [صدر آزاد جموں و کشمیر, seat, مظفرآباد]
Generated description
مظفرآباد آزاد جموں و کشمیر کا دارالحکومت اور دریائے نیلم و جہلم کے سنگم پر واقع ایک اہم تاریخی و جغرافیائی شہر ہے۔
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: مظفرآباد
Target entity description: مظفرآباد آزاد جموں و کشمیر کا دارالحکومت اور دریائے نیلم و جہلم کے سنگم پر واقع ایک اہم تاریخی و جغرافیائی شہر ہے۔
  • A. Faisalabad
    Faisalabad is a major industrial city in Pakistan’s Punjab province, known especially for its large textile industry and role as a commercial hub.
  • B. Sargodha
    Sargodha is a major city in central Pakistan known for its air force base and extensive citrus (particularly kinnow) production.
  • C. Bahawalpur
    Bahawalpur is a historic city in southern Punjab, Pakistan, known for its former princely state status, grand palaces, and proximity to the Cholistan Desert.
  • D. Bahawalnagar
    Bahawalnagar is a prominent city in Pakistan’s Punjab province, known as an agricultural and commercial hub near the border with India.
  • E. Khanewal
    Khanewal is a prominent city in Pakistan’s Punjab province, known as an important railway junction and agricultural trade center.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e9e5e248190ae54cda1fde51efb completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffb0335a0c8190ade4c2f78df3d113 completed May 9, 2026, 10:07 p.m.
NEDg Description generation batch_69ffb0be9fa88190ab691c4c1d845ea9 completed May 9, 2026, 10:10 p.m.
NED2 Entity disambiguation (via description) batch_69ffb12f3e4c8190be983f00ae1d5160 completed May 9, 2026, 10:11 p.m.
Created at: April 10, 2026, 4:14 a.m.