Triple
T8707255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MQI |
E206678
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | JMS |
E39551
|
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: JMS | Statement: [MQI, relatedTo, JMS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JMS Context triple: [MQI, relatedTo, JMS]
-
A.
JMS
chosen
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.
-
B.
ActiveMQ
ActiveMQ is an open-source message broker written in Java that supports multiple messaging protocols and enables reliable, asynchronous communication between distributed applications.
-
C.
MSMQ
MSMQ (Microsoft Message Queuing) is a Microsoft messaging technology that enables reliable, asynchronous communication between distributed applications by queuing messages.
-
D.
RabbitMQ
RabbitMQ is an open-source message broker that implements the Advanced Message Queuing Protocol (AMQP) to enable reliable, scalable communication between distributed applications and services.
-
E.
Qpid
Qpid is an open-source messaging system implementing the AMQP protocol, commonly used as a message broker in distributed and cloud-based applications.
- 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_69ca835645e881908f00e3c8b51da81d |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc58fe19ac8190936ba0faf513ed2b |
completed | March 31, 2026, 11:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf28aac77c8190b4f5968643715765 |
completed | April 3, 2026, 2:40 a.m. |
Created at: March 30, 2026, 6:35 p.m.