Triple
T4600202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google Cloud Dataproc |
E100303
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | Cloud Pub/Sub |
E97116
|
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: Cloud Pub/Sub | Statement: [Google Cloud Dataproc, integratesWith, Cloud Pub/Sub]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cloud Pub/Sub Context triple: [Google Cloud Dataproc, integratesWith, Cloud Pub/Sub]
-
A.
Google Cloud Pub/Sub
chosen
Google Cloud Pub/Sub is a fully managed real-time messaging service that enables asynchronous, scalable communication between independent applications and services.
-
B.
Pub/Sub Lite
Pub/Sub Lite is a lower-cost, high-throughput messaging service on Google Cloud designed for streaming data workloads that can tolerate more operational management compared to standard Pub/Sub.
-
C.
Google Cloud Dataflow
Google Cloud Dataflow is a fully managed service for developing and executing batch and streaming data processing pipelines, based on Apache Beam, within the Google Cloud ecosystem.
-
D.
Azure Service Bus
Azure Service Bus is a fully managed enterprise message broker on Microsoft Azure that enables reliable, asynchronous communication between distributed applications and services.
-
E.
Azure Event Hubs
Azure Event Hubs is a fully managed, real-time data ingestion and streaming platform on Microsoft Azure designed to handle millions of events per second for analytics and processing.
- 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_69bd43cbc014819098b45f435908f88a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5971f448819090f6e76c7d3ffc2d |
completed | March 20, 2026, 2:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfa5a7aac8190b540b80816d55051 |
completed | March 21, 2026, 1:54 a.m. |
Created at: March 20, 2026, 1:11 p.m.