Triple
T22443959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WebdriverIO |
E554819
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | CircleCI |
—
|
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: CircleCI | Statement: [WebdriverIO, integratesWith, CircleCI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CircleCI Context triple: [WebdriverIO, integratesWith, CircleCI]
-
A.
CircleCI
chosen
CircleCI is a cloud-based continuous integration and delivery platform that automates building, testing, and deploying software.
-
B.
Travis CI
Travis CI is a hosted continuous integration service widely used to automatically build and test software projects, especially those hosted on GitHub.
-
C.
TeamCity
TeamCity is a commercial continuous integration and build management server developed by JetBrains, used to automate building, testing, and deploying software projects.
-
D.
Cloud Build
Cloud Build is Google Cloud’s fully managed continuous integration and delivery (CI/CD) service for building, testing, and deploying applications at scale.
-
E.
Xcode Cloud
Xcode Cloud is Apple’s integrated continuous integration and delivery service for building, testing, and distributing apps directly from Xcode using cloud-based infrastructure.
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ae517208190924a7968723f55ef |
completed | April 29, 2026, 1:12 a.m. |
Created at: April 16, 2026, 8:47 p.m.