Triple
T7932120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cloud Run |
E184211
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | Cloud Tasks |
E697141
|
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 Tasks | Statement: [Cloud Run, integratesWith, Cloud Tasks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cloud Tasks Context triple: [Cloud Run, integratesWith, Cloud Tasks]
-
A.
Cloud Tasks
chosen
Cloud Tasks is a fully managed Google Cloud service for scheduling, dispatching, and managing asynchronous background tasks at scale.
-
B.
Cloud Scheduler
Cloud Scheduler is a fully managed cron job service on Google Cloud that lets you reliably schedule and trigger HTTP, Pub/Sub, or App Engine tasks at defined times.
-
C.
Cloud Functions
Cloud Functions is Google Cloud’s serverless compute platform for running event-driven code without managing servers.
-
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 Run
Cloud Run is a fully managed serverless compute platform from Google Cloud that runs containerized applications and APIs that scale automatically on demand.
- 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_69cb3ace87f081908635769942645e78 |
completed | March 31, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe011ccec8190ab60d18b761666af |
completed | March 31, 2026, 2:54 p.m. |
Created at: March 30, 2026, 5:07 p.m.