Triple
T7931991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | App Engine |
E184209
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | Cloud SQL |
E185470
|
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 SQL | Statement: [App Engine, integratesWith, Cloud SQL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cloud SQL Context triple: [App Engine, integratesWith, Cloud SQL]
-
A.
Cloud SQL
chosen
Cloud SQL is Google Cloud’s fully managed relational database service for running MySQL, PostgreSQL, and SQL Server workloads in the cloud.
-
B.
Cloud Spanner
Cloud Spanner is Google Cloud’s fully managed, horizontally scalable, globally distributed relational database service that offers strong consistency and high availability.
-
C.
Cloud Datastore
Cloud Datastore is a highly scalable, fully managed NoSQL document database service provided by Google Cloud for building and running web and mobile applications.
-
D.
Google Compute Engine
Google Compute Engine is Google Cloud’s infrastructure-as-a-service offering that provides scalable, customizable virtual machines for running workloads in the cloud.
-
E.
Oracle Cloud databases
Oracle Cloud databases are managed, scalable database services on Oracle Cloud Infrastructure that provide enterprise-grade performance, security, and automation for running Oracle and other workloads in the cloud.
- 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.