Triple
T7931992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | App Engine |
E184209
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | Cloud Storage |
E184212
|
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 Storage | Statement: [App Engine, integratesWith, Cloud Storage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cloud Storage Context triple: [App Engine, integratesWith, Cloud Storage]
-
A.
Google Cloud Storage
chosen
Google Cloud Storage is a scalable, durable, and secure object storage service for storing and accessing data on Google Cloud infrastructure.
-
B.
Amazon Cloud Drive
Amazon Cloud Drive was a cloud storage service from Amazon that allowed users to store, sync, and access files such as photos, videos, and documents across devices via the web and dedicated apps.
-
C.
VK Cloud
VK Cloud is a Russian cloud computing platform offering infrastructure and related services for businesses and developers, operated by the technology company VK.
-
D.
CLOUD
CLOUD is a CERN experiment that studies how cosmic rays and atmospheric aerosols influence cloud formation and, consequently, Earth's climate.
-
E.
Azure Blob Storage
Azure Blob Storage is a cloud-based object storage service for storing and managing large amounts of unstructured data such as text and binary files.
- 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.