Triple
T7931989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | App Engine |
E184209
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | Cloud Datastore |
E427702
|
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 Datastore | Statement: [App Engine, integratesWith, Cloud Datastore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cloud Datastore Context triple: [App Engine, integratesWith, Cloud Datastore]
-
A.
Cloud Datastore
chosen
Cloud Datastore is a highly scalable, fully managed NoSQL document database service provided by Google Cloud for building and running web and mobile applications.
-
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.
Bigtable
Bigtable is Google's distributed, scalable NoSQL database designed to handle massive amounts of structured data with high performance and reliability.
-
D.
Cloud SQL
Cloud SQL is Google Cloud’s fully managed relational database service for running MySQL, PostgreSQL, and SQL Server workloads in the cloud.
-
E.
Firestore
Firestore is a scalable, fully managed NoSQL document database service from Google Cloud designed for real-time data synchronization and serverless application development.
- 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_69cb5c041e588190bfbf251ed88d5bcd |
completed | March 31, 2026, 5:30 a.m. |
Created at: March 30, 2026, 5:07 p.m.