Triple

T1033433
Position Surface form Disambiguated ID Type / Status
Subject BEA Systems E22303 entity
Predicate notableProduct P1448 FINISHED
Object BEA Tuxedo 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 Tuxedo | Statement: [BEA Systems, notableProduct, BEA Tuxedo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BEA Tuxedo
Context triple: [BEA Systems, notableProduct, BEA Tuxedo]
  • A. BEA
    BEA is a U.S. government agency that produces key economic statistics, including measures of national income, output, and growth.
  • B. 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.
  • C. Netscape Enterprise Server
    Netscape Enterprise Server is a web server software product developed by Netscape Communications Corporation for hosting and managing websites and internet applications.
  • D. Lotus Domino
    Lotus Domino is IBM's enterprise-grade server platform that provides email, collaboration, and application hosting services for Lotus Notes and web clients.
  • E. IBM WebSphere
    IBM WebSphere is a suite of enterprise middleware and application server software designed to build, deploy, and integrate large-scale Java-based web and business 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_69a493d848848190aed4011b34b2e8d3 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b812c9948190a37c2b1d3d32ea38 completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42990be88190aeda5ec08fce5288 completed March 7, 2026, 3:22 p.m.
Created at: March 1, 2026, 7:41 p.m.