Triple

T4279623
Position Surface form Disambiguated ID Type / Status
Subject Google Cloud Dataflow E97117 entity
Predicate supportsIntegrationWith P5090 FINISHED
Object 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: Pub/Sub | Statement: [Google Cloud Dataflow, supportsIntegrationWith, Pub/Sub]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pub/Sub
Context triple: [Google Cloud Dataflow, supportsIntegrationWith, 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. Amazon SNS
    Amazon SNS is a fully managed pub/sub messaging service that enables applications, microservices, and users to send and receive notifications at scale via multiple communication channels.
  • C. MQTT
    MQTT is a lightweight, publish-subscribe messaging protocol commonly used for reliable communication in IoT and constrained network environments.
  • D. JMS
    JMS (Java Message Service) is a Java API specification that enables applications to create, send, receive, and read messages in a loosely coupled, asynchronous, and reliable messaging system.
  • E. 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.
  • 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_69b5b7b708b481908c1683741f84ee55 completed March 14, 2026, 7:32 p.m.
Created at: March 12, 2026, 11:07 p.m.