Triple
T15255339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google Cloud project |
E364630
|
entity |
| Predicate | scopeOf |
P61710
|
FINISHED |
| Object | Compute Engine instances |
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: Compute Engine instances | Statement: [Google Cloud project, scopeOf, Compute Engine instances]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Compute Engine instances Context triple: [Google Cloud project, scopeOf, Compute Engine instances]
-
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.
Amazon EC2
Amazon EC2 is a scalable cloud computing service that provides virtual servers (instances) for running applications on Amazon Web Services infrastructure.
-
C.
Function Compute
Function Compute is Alibaba Cloud’s serverless computing platform that lets developers run code on demand without managing servers.
-
D.
GCP
GCP is a Christian publishing organization that produces curriculum and educational resources for churches and families.
-
E.
Google Cloud TPU V2
Google Cloud TPU V2 is a second-generation tensor processing unit offered as a cloud service by Google, designed to accelerate large-scale machine learning workloads such as deep neural network training and inference.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f8cb308190933c4478aa096e24 |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5f7bd2081909c003deb3a692f18 |
completed | May 9, 2026, 7:44 a.m. |
Created at: April 10, 2026, 3:13 a.m.