Triple

T17519589
Position Surface form Disambiguated ID Type / Status
Subject Swagger Editor E426650 entity
Predicate maintainer P2962 FINISHED
Object SmartBear Software NE NERFINISHED

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: SmartBear Software | Statement: [Swagger Editor, maintainer, SmartBear Software]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SmartBear Software
Context triple: [Swagger Editor, maintainer, SmartBear Software]
  • A. SmartBear Software chosen
    SmartBear Software is a software company known for its tools that support API development, testing, and monitoring, including stewardship of the popular Swagger ecosystem.
  • B. PortSwigger Ltd
    PortSwigger Ltd is a cybersecurity company best known for creating Burp Suite, a widely used web application security testing platform.
  • C. Checkmarx
    Checkmarx is a cybersecurity company specializing in application security testing solutions that help organizations identify and remediate vulnerabilities in their software code.
  • D. Rapid7
    Rapid7 is a cybersecurity company known for providing vulnerability management, incident detection, and penetration testing solutions.
  • E. Burp Suite
    Burp Suite is a popular integrated platform for web application security testing, widely used by penetration testers to identify and exploit vulnerabilities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452d18c1c81908bb843bbddb44ca1 completed April 19, 2026, 3:58 a.m.
Created at: April 10, 2026, 5:49 a.m.