Triple

T1933015
Position Surface form Disambiguated ID Type / Status
Subject IBM WebSphere DataPower E40987 entity
Predicate supportsProtocol P203 FINISHED
Object MQ
MQ is IBM's messaging middleware that enables reliable, asynchronous communication between distributed applications and systems.
 E216287 NE FINISHED

How this triple was built (4 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: MQ | Statement: [IBM WebSphere DataPower, supportsProtocol, MQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MQ
Context triple: [IBM WebSphere DataPower, supportsProtocol, MQ]
  • A. MQ
    MQ is a German vehicle registration code assigned to the Saalekreis district in the state of Saxony-Anhalt.
  • B. MQI
    MQI (Message Queue Interface) is a programming API used to send and receive messages via IBM MQ message queuing systems.
  • C. MSMQ
    MSMQ (Microsoft Message Queuing) is a Microsoft messaging technology that enables reliable, asynchronous communication between distributed applications by queuing messages.
  • 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. Mailer
    Mailer is a surname most notably associated with American novelist, journalist, and essayist Norman Mailer.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: MQ
Triple: [IBM WebSphere DataPower, supportsProtocol, MQ]
Generated description
MQ is IBM's messaging middleware that enables reliable, asynchronous communication between distributed applications and systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MQ
Target entity description: MQ is IBM's messaging middleware that enables reliable, asynchronous communication between distributed applications and systems.
  • A. MQ
    MQ is a German vehicle registration code assigned to the Saalekreis district in the state of Saxony-Anhalt.
  • B. MQI
    MQI (Message Queue Interface) is a programming API used to send and receive messages via IBM MQ message queuing systems.
  • C. MSMQ
    MSMQ (Microsoft Message Queuing) is a Microsoft messaging technology that enables reliable, asynchronous communication between distributed applications by queuing messages.
  • 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. Mailer
    Mailer is a surname most notably associated with American novelist, journalist, and essayist Norman Mailer.
  • F. None of above. chosen

Provenance (5 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_69a8864711648190b07bed24ed76258e completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb299f3c48190a5021d320ded4405 completed March 7, 2026, 5:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3f16d0c8190967862b68e6cc373 completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf484b6788190a678a05a52da7eda completed March 8, 2026, 10:13 p.m.
NED2 Entity disambiguation (via description) batch_69adf4f8f3c481909efcb6d632522e1a completed March 8, 2026, 10:15 p.m.
Created at: March 4, 2026, 7:35 p.m.