Triple
T17499693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AWS X-Ray |
E426157
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | AWS Lambda |
—
|
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: AWS Lambda | Statement: [AWS X-Ray, integratesWith, AWS Lambda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AWS Lambda Context triple: [AWS X-Ray, integratesWith, AWS 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.
AWS Lambda Runtime API
AWS Lambda Runtime API is an interface that lets custom runtimes communicate with the Lambda service to receive invocation events and return execution results.
-
C.
Cloud Functions
Cloud Functions is Google Cloud’s serverless compute platform for running event-driven code without managing servers.
-
D.
Azure Functions
Azure Functions is a serverless compute service that lets developers run event-driven code on demand in the cloud without managing infrastructure.
-
E.
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.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452112ff0819089c2951baba90102 |
completed | April 19, 2026, 3:54 a.m. |
Created at: April 10, 2026, 5:48 a.m.