Triple
T17561434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cloud Datastore |
E427702
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | Cloud Storage |
—
|
NE NERFINISHED |
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: [Cloud Datastore, integratesWith, Cloud Storage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cloud Storage Context triple: [Cloud Datastore, integratesWith, Cloud Storage]
-
A.
Cloud
Cloud is a surname most notably associated with American politician Michael Cloud.
-
B.
Cloud
Cloud is the fan club associated with the artist or group known as Rain.
-
C.
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.
-
D.
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.
-
E.
Atlas cloud service
Atlas cloud service is MongoDB’s fully managed cloud database platform that provides scalable, secure, and automated deployment and operation of MongoDB clusters.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e456274c888190ac80402e391674dd |
completed | April 19, 2026, 4:12 a.m. |
Created at: April 10, 2026, 5:50 a.m.