Triple

T8248064
Position Surface form Disambiguated ID Type / Status
Subject Offensive Security E192895 entity
Predicate offersCourse P178 FINISHED
Object PWK
PWK (Penetration Testing with Kali) is Offensive Security’s flagship hands-on penetration testing course that prepares students for the OSCP certification.
 E721407 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: PWK | Statement: [Offensive Security, offersCourse, PWK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PWK
Context triple: [Offensive Security, offersCourse, PWK]
  • A. WPK
    WPK is the ruling communist party of North Korea that dominates the country’s political system and state ideology.
  • B. PW
    PW is the commonly used nickname of P. W. Botha, the former South African prime minister and state president during the apartheid era.
  • C. PW
    PW is the ISO 3166-1 alpha-2 country code for the Pacific island nation of Palau.
  • D. PW
    PW is the commonly used abbreviation for the Warsaw University of Technology, one of Poland’s leading technical universities.
  • E. PW
    PW is the abbreviated name for Price Waterhouse, a former major international accounting and professional services firm that later became part of PricewaterhouseCoopers (PwC).
  • 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: PWK
Triple: [Offensive Security, offersCourse, PWK]
Generated description
PWK (Penetration Testing with Kali) is Offensive Security’s flagship hands-on penetration testing course that prepares students for the OSCP certification.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PWK
Target entity description: PWK (Penetration Testing with Kali) is Offensive Security’s flagship hands-on penetration testing course that prepares students for the OSCP certification.
  • A. WPK
    WPK is the ruling communist party of North Korea that dominates the country’s political system and state ideology.
  • B. PW
    PW is the commonly used nickname of P. W. Botha, the former South African prime minister and state president during the apartheid era.
  • C. PW
    PW is the ISO 3166-1 alpha-2 country code for the Pacific island nation of Palau.
  • D. PW
    PW is the commonly used abbreviation for the Warsaw University of Technology, one of Poland’s leading technical universities.
  • E. PW
    PW is the abbreviated name for Price Waterhouse, a former major international accounting and professional services firm that later became part of PricewaterhouseCoopers (PwC).
  • 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_69ca82de7b8c81908d8106f8a53cff9b completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7875318c819095f971ba513c54fd completed March 31, 2026, 7:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd3530ca148190a28761622d0cf663 completed April 1, 2026, 3:09 p.m.
NEDg Description generation batch_69cd37a5d3bc8190801b1b0f09eee462 completed April 1, 2026, 3:20 p.m.
NED2 Entity disambiguation (via description) batch_69cd4ef034ec8190a4229b21e6088c79 completed April 1, 2026, 4:59 p.m.
Created at: March 30, 2026, 5:48 p.m.