Triple

T12081233
Position Surface form Disambiguated ID Type / Status
Subject Kernel Self Protection Project E287682 entity
Predicate abbreviation P43 FINISHED
Object KSPP
KSPP is a Linux kernel security initiative focused on hardening the kernel against vulnerabilities and exploitation through proactive self-protection features.
 E968047 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: KSPP | Statement: [Kernel Self Protection Project, abbreviation, KSPP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KSPP
Context triple: [Kernel Self Protection Project, abbreviation, KSPP]
  • A. SPP
    SPP was the Mexican federal government’s Secretariat responsible for national economic planning, public spending, and budgetary policy.
  • B. SPP
    SPP is the National Rail station code for Shippea Hill railway station in Cambridgeshire, England.
  • C. SPP
    SPP is the Supreme People's Procuratorate of China, the highest national agency responsible for legal prosecution and supervision of law enforcement in the country.
  • D. KPPA
    KPPA is the ICAO airport code for Perry Lefors Field, a public airport serving Pampa, Texas, in the United States.
  • E. KPSP
    KPSP is the ICAO airport code for Palm Springs International Airport, a commercial airport serving Palm Springs, California, and the surrounding Coachella Valley region.
  • 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: KSPP
Triple: [Kernel Self Protection Project, abbreviation, KSPP]
Generated description
KSPP is a Linux kernel security initiative focused on hardening the kernel against vulnerabilities and exploitation through proactive self-protection features.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KSPP
Target entity description: KSPP is a Linux kernel security initiative focused on hardening the kernel against vulnerabilities and exploitation through proactive self-protection features.
  • A. SPP
    SPP is the National Rail station code for Shippea Hill railway station in Cambridgeshire, England.
  • B. SPP
    SPP is the Supreme People's Procuratorate of China, the highest national agency responsible for legal prosecution and supervision of law enforcement in the country.
  • C. SPP
    SPP was the Mexican federal government’s Secretariat responsible for national economic planning, public spending, and budgetary policy.
  • D. KPPA
    KPPA is the ICAO airport code for Perry Lefors Field, a public airport serving Pampa, Texas, in the United States.
  • E. KPSP
    KPSP is the ICAO airport code for Palm Springs International Airport, a commercial airport serving Palm Springs, California, and the surrounding Coachella Valley region.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d904dc98a88190a5873f3fd8e1a0b2 completed April 10, 2026, 2:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f66509208190b7206e78df41c2fe completed May 2, 2026, 1:04 p.m.
NEDg Description generation batch_69f6022ecf38819080f0eb6a3a815c5b completed May 2, 2026, 1:54 p.m.
NED2 Entity disambiguation (via description) batch_69f606560934819092ba4d4fa162b799 completed May 2, 2026, 2:12 p.m.
Created at: April 8, 2026, 9:48 p.m.