Triple

T5017108
Position Surface form Disambiguated ID Type / Status
Subject Oracle WebLogic Server E112761 entity
Predicate supportsTechnology P5090 FINISHED
Object Java Message Service 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: Java Message Service | Statement: [Oracle WebLogic Server, supportsTechnology, Java Message Service]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Java Message Service
Context triple: [Oracle WebLogic Server, supportsTechnology, Java Message Service]
  • 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. MSMQ
    MSMQ (Microsoft Message Queuing) is a Microsoft messaging technology that enables reliable, asynchronous communication between distributed applications by queuing messages.
  • C. Jakarta Enterprise Beans
    Jakarta Enterprise Beans is a Jakarta EE server-side component architecture that simplifies the development of transactional, secure, and scalable business logic in Java enterprise applications.
  • D. MQ
    MQ is the IATA airline designator used by American Eagle Airlines for its flight operations.
  • E. MQ
    MQ is a German vehicle registration code assigned to the Saalekreis district in the state of Saxony-Anhalt.
  • 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_69bd4434acb8819086679dbeccc2fe54 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd734037a88190a950db814412a023 completed March 20, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9278421c8190b142466c099c7d1c completed March 21, 2026, 12:43 p.m.
Created at: March 20, 2026, 1:35 p.m.