Triple

T12204733
Position Surface form Disambiguated ID Type / Status
Subject Small Arms Protective Insert E290806 entity
Predicate hasVariant P455 FINISHED
Object ESAPI E697168 NE FINISHED

How this triple was built (2 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: ESAPI | Statement: [Small Arms Protective Insert, hasVariant, ESAPI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ESAPI
Context triple: [Small Arms Protective Insert, hasVariant, ESAPI]
  • A. OWASP Top 10 protections chosen
    OWASP Top 10 protections are a widely recognized set of security controls and best practices designed to mitigate the most critical web application security risks identified by the Open Web Application Security Project.
  • B. OWASP
    OWASP is a global non-profit organization focused on improving the security of software through open-source projects, community-led initiatives, and educational resources.
  • C. Apache Struts
    Apache Struts is an open-source Java web application framework widely used for building enterprise-grade, MVC-based web applications.
  • D. SAST
    SAST (Static Application Security Testing) is a security testing methodology that analyzes source code or binaries to identify vulnerabilities early in the software development lifecycle.
  • E. Checkmarx
    Checkmarx is a cybersecurity company specializing in application security testing solutions that help organizations identify and remediate vulnerabilities in their software code.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c7c9084819085e7d2f9038f409f completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a9ae3d48190a220ccd37ce8d3e7 completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:51 p.m.