Triple
T7932313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Filestore |
E184214
|
entity |
| Predicate | hasServiceTier |
P849
|
FINISHED |
| Object | Filestore Enterprise |
E184214
|
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: Filestore Enterprise | Statement: [Filestore, hasServiceTier, Filestore Enterprise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Filestore Enterprise Context triple: [Filestore, hasServiceTier, Filestore Enterprise]
-
A.
Filestore
chosen
Filestore is a managed network file storage service on Google Cloud that provides scalable, high-performance file systems for applications running in the cloud.
-
B.
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.
-
C.
Zoho WorkDrive
Zoho WorkDrive is a cloud-based file storage, collaboration, and team content management platform offered by Zoho.
-
D.
inDrive
inDrive is a global ride-hailing and mobility platform known for its unique model that lets passengers and drivers negotiate fares directly through the app.
-
E.
easyStorage
easyStorage is a self-storage and related services brand within the easyGroup family of low-cost consumer businesses.
- 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, 5:08 p.m.