Triple
T4280016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazon Kinesis Data Firehose |
E97124
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | Amazon Lambda |
E293752
|
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: Amazon Lambda | Statement: [Amazon Kinesis Data Firehose, integratesWith, Amazon Lambda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amazon Lambda Context triple: [Amazon Kinesis Data Firehose, integratesWith, Amazon Lambda]
-
A.
AWS Lambda
chosen
AWS Lambda is a serverless compute service that lets developers run code in response to events without provisioning or managing servers.
-
B.
Cloud Functions
Cloud Functions is Google Cloud’s serverless compute platform for running event-driven code without managing servers.
-
C.
Azure Functions
Azure Functions is a serverless compute service that lets developers run event-driven code on demand in the cloud without managing infrastructure.
-
D.
AWS Fargate
AWS Fargate is a serverless compute engine for containers that lets users run Docker-based applications on AWS without managing underlying servers or clusters.
-
E.
Amazon API Gateway
Amazon API Gateway is a fully managed AWS service that enables developers to create, publish, secure, and monitor scalable APIs for backend services.
- 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_69b34544be3c819084d1ab82d29f90c5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b350367da48190b735deef9b5d2d2e |
completed | March 12, 2026, 11:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5db83dd308190a8d1824157d011ce |
completed | March 14, 2026, 10:04 p.m. |
Created at: March 12, 2026, 11:07 p.m.