Triple
T7976969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cloud SQL |
E185470
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | App Engine |
E184209
|
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: App Engine | Statement: [Cloud SQL, integratesWith, App Engine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: App Engine Context triple: [Cloud SQL, integratesWith, App Engine]
-
A.
App Engine
chosen
App Engine is a fully managed serverless platform from Google Cloud for building, deploying, and scaling web applications and services.
-
B.
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.
-
C.
Google Cloud
Google Cloud is Alphabet Inc.'s cloud computing platform offering infrastructure, platform, and software services for building, deploying, and scaling applications and data solutions.
-
D.
Firebase
Firebase is a Google-backed platform offering backend services, analytics, and tools for building and scaling web and mobile applications.
-
E.
Heroku
Heroku is a cloud platform as a service (PaaS) that enables developers to build, run, and scale applications without managing underlying infrastructure.
- 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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bf716508190b4245bd5d89ae8c4 |
completed | March 31, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63b72c508190b0ad8acf975c1527 |
completed | April 1, 2026, 12:15 a.m. |
Created at: March 30, 2026, 5:14 p.m.