Triple
T7933172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cloud Deploy |
E184229
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | Cloud Build |
E184227
|
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: Cloud Build | Statement: [Cloud Deploy, integratesWith, Cloud Build]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cloud Build Context triple: [Cloud Deploy, integratesWith, Cloud Build]
-
A.
Cloud Build
chosen
Cloud Build is Google Cloud’s fully managed continuous integration and delivery (CI/CD) service for building, testing, and deploying applications at scale.
-
B.
AWS CodeBuild
AWS CodeBuild is a fully managed continuous integration service that compiles source code, runs tests, and produces software packages in the cloud.
-
C.
CircleCI
CircleCI is a cloud-based continuous integration and delivery platform that automates building, testing, and deploying software.
-
D.
Cloud Composer
Cloud Composer is Google Cloud’s fully managed workflow orchestration service based on Apache Airflow, used to author, schedule, and monitor complex data and pipeline workflows across cloud and on-premises environments.
-
E.
Cloud Deploy
Cloud Deploy is Google Cloud’s managed continuous delivery service for automating and managing application releases to various deployment targets such as Kubernetes clusters.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3acfd2a88190b1a13cd6fdedc272 |
completed | March 31, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc564a4fac8190972f9dfa7c026ea8 |
completed | March 31, 2026, 11:18 p.m. |
Created at: March 30, 2026, 5:08 p.m.