Triple

T13889607
Position Surface form Disambiguated ID Type / Status
Subject Finance Division of Pakistan E333934 entity
Predicate oversees P46 FINISHED
Object Pakistan Revenue Automation Limited (policy/ownership role)
Pakistan Revenue Automation Limited (policy/ownership role) is a government-owned IT company in Pakistan responsible for developing and managing automated tax and revenue collection systems for the state.
E1068051 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: Pakistan Revenue Automation Limited (policy/ownership role) | Statement: [Finance Division of Pakistan, oversees, Pakistan Revenue Automation Limited (policy/ownership role)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pakistan Revenue Automation Limited (policy/ownership role)
Context triple: [Finance Division of Pakistan, oversees, Pakistan Revenue Automation Limited (policy/ownership role)]
  • A. Pakistan Audit and Accounts Service
    The Pakistan Audit and Accounts Service is a specialized civil service cadre responsible for managing public sector accounting and auditing functions across federal and provincial governments in Pakistan.
  • B. Finance Division of Pakistan
    The Finance Division of Pakistan is a key governmental body responsible for managing the country’s public finances, including budgeting, fiscal policy, and oversight of federal pay and compensation structures.
  • C. Pakistan Customs Computerized System (PaCCS)
    Pakistan Customs Computerized System (PaCCS) is an automated customs management platform designed to streamline and modernize customs clearance, cargo processing, and revenue collection in Pakistan.
  • D. Pakistan Ordnance Factories Board (policy oversight)
    The Pakistan Ordnance Factories Board is the principal state-owned defense production organization in Pakistan responsible for managing and developing the country’s conventional arms and ammunition manufacturing.
  • E. Export Processing Zones Authority Pakistan
    The Export Processing Zones Authority Pakistan is a government agency responsible for developing, regulating, and managing export processing zones across Pakistan to promote export-oriented industrialization and foreign investment.
  • 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: Pakistan Revenue Automation Limited (policy/ownership role)
Triple: [Finance Division of Pakistan, oversees, Pakistan Revenue Automation Limited (policy/ownership role)]
Generated description
Pakistan Revenue Automation Limited (policy/ownership role) is a government-owned IT company in Pakistan responsible for developing and managing automated tax and revenue collection systems for the state.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pakistan Revenue Automation Limited (policy/ownership role)
Target entity description: Pakistan Revenue Automation Limited (policy/ownership role) is a government-owned IT company in Pakistan responsible for developing and managing automated tax and revenue collection systems for the state.
  • A. Pakistan Audit and Accounts Service
    The Pakistan Audit and Accounts Service is a specialized civil service cadre responsible for managing public sector accounting and auditing functions across federal and provincial governments in Pakistan.
  • B. Finance Division of Pakistan
    The Finance Division of Pakistan is a key governmental body responsible for managing the country’s public finances, including budgeting, fiscal policy, and oversight of federal pay and compensation structures.
  • C. Pakistan Customs Computerized System (PaCCS)
    Pakistan Customs Computerized System (PaCCS) is an automated customs management platform designed to streamline and modernize customs clearance, cargo processing, and revenue collection in Pakistan.
  • D. Pakistan Ordnance Factories Board (policy oversight)
    The Pakistan Ordnance Factories Board is the principal state-owned defense production organization in Pakistan responsible for managing and developing the country’s conventional arms and ammunition manufacturing.
  • E. Export Processing Zones Authority Pakistan
    The Export Processing Zones Authority Pakistan is a government agency responsible for developing, regulating, and managing export processing zones across Pakistan to promote export-oriented industrialization and foreign investment.
  • 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de23a3a24881908d81d634622fbbcc completed April 14, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c718140c8190a625da87231ee814 completed May 3, 2026, 10:07 p.m.
NEDg Description generation batch_69f7c83a3e04819097b6e0b5a3161b9a completed May 3, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69f7c976e96c8190b59f46d9b758e8e2 completed May 3, 2026, 10:17 p.m.
Created at: April 9, 2026, 10:15 p.m.