Triple
T18800082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VPC Service Controls |
E459735
|
entity |
| Predicate | protects |
P1040
|
FINISHED |
| Object | AI Platform services |
—
|
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: AI Platform services | Statement: [VPC Service Controls, protects, AI Platform services]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AI Platform services Context triple: [VPC Service Controls, protects, AI Platform services]
-
A.
AI-as-a-service
AI-as-a-service is a cloud-based model for delivering artificial intelligence capabilities—such as language understanding, prediction, and automation—through accessible APIs without requiring users to build or host their own AI infrastructure.
-
B.
Vertex AI
chosen
Vertex AI is Google Cloud’s unified machine learning platform for building, training, and deploying ML models at scale.
-
C.
OpenAI API platform
The OpenAI API platform is a cloud-based service that provides developers with programmatic access to OpenAI’s language, code, and other AI models for integration into applications and workflows.
-
D.
Amazon SageMaker
Amazon SageMaker is a fully managed cloud service that enables developers and data scientists to build, train, and deploy machine learning models at scale.
-
E.
Azure Cognitive Services
Azure Cognitive Services is a suite of cloud-based AI APIs and tools that enable developers to add capabilities like vision, speech, language understanding, and decision-making to their applications without needing deep machine learning expertise.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a02273b481909bc250144a0ace32 |
completed | April 20, 2026, 3:40 a.m. |
Created at: April 10, 2026, 11:53 a.m.