Triple

T9963096
Position Surface form Disambiguated ID Type / Status
Subject OWASP ZAP E195615 entity
Predicate abbreviation P43 FINISHED
Object ZAP
ZAP is an open-source web application security testing tool developed by OWASP, widely used for finding vulnerabilities in web applications.
 E831597 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: ZAP | Statement: [OWASP ZAP, abbreviation, ZAP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ZAP
Context triple: [OWASP ZAP, abbreviation, ZAP]
  • A. Zapped
    Zapped is a Disney Channel original movie starring Zendaya as a tech-savvy teen who gains a smartphone app that lets her control boys’ behavior, leading to comedic chaos and life lessons.
  • B. ZAZ
    ZAZ is the IATA airport code for Zaragoza Airport, a major civilian and military airfield serving the city of Zaragoza in northeastern Spain.
  • C. ZAG
    ZAG is the commonly used abbreviation for Zagłębie Lubin, a professional football club based in Lubin, Poland.
  • D. ZAG
    ZAG is the three-letter IATA airport code for Zagreb Franjo Tuđman Airport, the main international airport serving Croatia’s capital city, Zagreb.
  • E. ZP
    ZP is a German vehicle registration code assigned to the Erzgebirgskreis district in the state of Saxony.
  • 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: ZAP
Triple: [OWASP ZAP, abbreviation, ZAP]
Generated description
ZAP is an open-source web application security testing tool developed by OWASP, widely used for finding vulnerabilities in web applications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ZAP
Target entity description: ZAP is an open-source web application security testing tool developed by OWASP, widely used for finding vulnerabilities in web applications.
  • A. Zapped
    Zapped is a Disney Channel original movie starring Zendaya as a tech-savvy teen who gains a smartphone app that lets her control boys’ behavior, leading to comedic chaos and life lessons.
  • B. ZAZ
    ZAZ is the IATA airport code for Zaragoza Airport, a major civilian and military airfield serving the city of Zaragoza in northeastern Spain.
  • C. ZAG
    ZAG is the commonly used abbreviation for Zagłębie Lubin, a professional football club based in Lubin, Poland.
  • D. ZAG
    ZAG is the three-letter IATA airport code for Zagreb Franjo Tuđman Airport, the main international airport serving Croatia’s capital city, Zagreb.
  • E. ZP
    ZP is a German vehicle registration code assigned to the Erzgebirgskreis district in the state of Saxony.
  • 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_69ca82ebd1288190912f9e4482d1fa35 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb718cd588190a4aac48220deddec completed April 2, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d993404819089c9a71d03721e0b completed April 5, 2026, 10:46 a.m.
NEDg Description generation batch_69d23ec0a63c819082c2458aff4ae79e completed April 5, 2026, 10:51 a.m.
NED2 Entity disambiguation (via description) batch_69d23f560f28819080716aabd7f4ff32 completed April 5, 2026, 10:54 a.m.
Created at: March 30, 2026, 8:47 p.m.