Triple
T17519541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SmartBear Software |
E426649
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | ReadyAPI |
—
|
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: ReadyAPI | Statement: [SmartBear Software, product, ReadyAPI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ReadyAPI Context triple: [SmartBear Software, product, ReadyAPI]
-
A.
ReadyAPI
chosen
ReadyAPI is a commercial API testing and virtualization platform by SmartBear Software used for designing, testing, and monitoring REST, SOAP, and other web services.
-
B.
SwaggerHub
SwaggerHub is a collaborative, cloud-based platform for designing, documenting, and managing APIs using the OpenAPI (Swagger) specification.
-
C.
TestRail
TestRail is a web-based test case management and quality assurance tool widely used by software development teams to plan, track, and report on testing activities.
-
D.
Swagger UI
Swagger UI is an open-source tool that automatically generates interactive, web-based user interfaces for exploring and testing RESTful APIs defined with the OpenAPI specification.
-
E.
Apigee
Apigee is an API management platform that provides tools for designing, securing, analyzing, and scaling application programming interfaces for enterprises.
- 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.