Triple

T6408751
Position Surface form Disambiguated ID Type / Status
Subject OASIS E127653 entity
Predicate standardDeveloped P1371 FINISHED
Object AMQP E427634 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: AMQP | Statement: [OASIS, standardDeveloped, AMQP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AMQP
Context triple: [OASIS, standardDeveloped, AMQP]
  • A. AMQP chosen
    AMQP (Advanced Message Queuing Protocol) is an open standard application layer protocol for message-oriented middleware that enables reliable, interoperable messaging between distributed systems.
  • B. 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.
  • C. ZeroMQ
    ZeroMQ is a high-performance asynchronous messaging library that provides lightweight, flexible sockets for building scalable distributed and concurrent applications.
  • D. MQTT
    MQTT is a lightweight, publish-subscribe messaging protocol commonly used for reliable communication in IoT and constrained network environments.
  • E. MSMQ
    MSMQ (Microsoft Message Queuing) is a Microsoft messaging technology that enables reliable, asynchronous communication between distributed applications by queuing messages.
  • 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_69c0083723d88190b1e37b19df162c08 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c068cdf25881908d42a5d979637ad6 completed March 22, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c638b38c888190aa2433173db64c90 completed March 27, 2026, 7:58 a.m.
Created at: March 22, 2026, 4:41 p.m.