Triple
T12324306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazon EBS |
E293788
|
entity |
| Predicate | competesWith |
P1375
|
FINISHED |
| Object | Google Persistent Disk |
E185469
|
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: Google Persistent Disk | Statement: [Amazon EBS, competesWith, Google Persistent Disk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Google Persistent Disk Context triple: [Amazon EBS, competesWith, Google Persistent Disk]
-
A.
Google Compute Engine
chosen
Google Compute Engine is Google Cloud’s infrastructure-as-a-service offering that provides scalable, customizable virtual machines for running workloads in the cloud.
-
B.
Google Cloud Storage
Google Cloud Storage is a scalable, durable, and secure object storage service for storing and accessing data on Google Cloud infrastructure.
-
C.
GCP
GCP is a Christian publishing organization that produces curriculum and educational resources for churches and families.
-
D.
Amazon EBS
Amazon EBS is a scalable, high-performance block storage service used with Amazon EC2 instances for persistent data storage in the AWS cloud.
-
E.
Azure Ultra Disk
Azure Ultra Disk is a high-performance, low-latency managed disk storage offering in Microsoft Azure designed for mission-critical, I/O-intensive workloads.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f4e7e588190b37e2413bc649198 |
completed | April 10, 2026, 6:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e8d27288190bdf32acd600141db |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:53 p.m.