Triple

T5017152
Position Surface form Disambiguated ID Type / Status
Subject Oracle WebLogic Server E112761 entity
Predicate acquiredFrom P2848 FINISHED
Object BEA Systems E22303 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: BEA Systems | Statement: [Oracle WebLogic Server, acquiredFrom, BEA Systems]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BEA Systems
Context triple: [Oracle WebLogic Server, acquiredFrom, BEA Systems]
  • A. BEA Systems chosen
    BEA Systems was a software company best known for its enterprise middleware and application server products that played a major role in early Java-based web and enterprise computing.
  • B. BEA
    BEA is a U.S. government agency that produces key economic statistics, including measures of national income, output, and growth.
  • C. BEA
    BEA is the French Bureau of Enquiry and Analysis for Civil Aviation Safety, the government agency responsible for investigating civil aviation accidents and incidents.
  • D. PeopleSoft
    PeopleSoft is an enterprise software company best known for its human resources and financial management applications, later integrated into Oracle’s product portfolio.
  • E. BEA AquaLogic
    BEA AquaLogic is a service-oriented architecture (SOA) and middleware software suite from BEA Systems designed to integrate, orchestrate, and manage enterprise 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_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.