Triple
T17676998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cloudflare Workers |
E440665
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | Cloudflare Load Balancing |
—
|
NE NERFINISHED |
How this triple was built (3 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: Cloudflare Load Balancing | Statement: [Cloudflare Workers, integratesWith, Cloudflare Load Balancing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cloudflare Load Balancing Context triple: [Cloudflare Workers, integratesWith, Cloudflare Load Balancing]
-
A.
Google Cloud Load Balancing
Google Cloud Load Balancing is a fully managed, software-defined load balancing service on Google Cloud that distributes traffic across instances and regions to provide high availability and scalability for applications.
-
B.
Cloudflare
Cloudflare is a web infrastructure and security company best known for its global content delivery network (CDN), DDoS protection, and DNS services that help improve the performance and security of websites and internet applications.
-
C.
Network Load Balancer
Network Load Balancer is an AWS load balancing service designed to handle millions of requests per second with ultra-low latency at the transport (Layer 4) level, ideal for high-performance, TCP/UDP-based applications.
-
D.
Server Load Balancer
Server Load Balancer is an Alibaba Cloud service that distributes incoming network traffic across multiple backend servers to improve availability, scalability, and reliability of applications.
-
E.
Azure Load Balancer
Azure Load Balancer is a cloud-native load balancing service in Microsoft Azure that distributes incoming network traffic across multiple virtual machines or services to ensure high availability and scalability.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cloudflare Load Balancing Target entity description: Cloudflare Load Balancing is a cloud-based traffic management service that distributes user requests across multiple servers or origins to improve performance, reliability, and availability of web applications.
-
A.
Google Cloud Load Balancing
Google Cloud Load Balancing is a fully managed, software-defined load balancing service on Google Cloud that distributes traffic across instances and regions to provide high availability and scalability for applications.
-
B.
Cloudflare
Cloudflare is a web infrastructure and security company best known for its global content delivery network (CDN), DDoS protection, and DNS services that help improve the performance and security of websites and internet applications.
-
C.
Network Load Balancer
Network Load Balancer is an AWS load balancing service designed to handle millions of requests per second with ultra-low latency at the transport (Layer 4) level, ideal for high-performance, TCP/UDP-based applications.
-
D.
Server Load Balancer
Server Load Balancer is an Alibaba Cloud service that distributes incoming network traffic across multiple backend servers to improve availability, scalability, and reliability of applications.
-
E.
Azure Load Balancer
Azure Load Balancer is a cloud-native load balancing service in Microsoft Azure that distributes incoming network traffic across multiple virtual machines or services to ensure high availability and scalability.
- F. None of above. chosen
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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f6d9ab88190ab0e25eac8b0101c |
completed | April 19, 2026, 6 a.m. |
Created at: April 10, 2026, 10:01 a.m.