Triple

T22060495
Position Surface form Disambiguated ID Type / Status
Subject Java EE E545138 entity
Predicate maintainedBy P86 FINISHED
Object Oracle Corporation NE NERFINISHED

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: Oracle Corporation | Statement: [Java EE, maintainedBy, Oracle Corporation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oracle Corporation
Context triple: [Java EE, maintainedBy, Oracle Corporation]
  • A. Oracle Corporation chosen
    Oracle Corporation is a major American multinational technology company best known for its database software, cloud services, and enterprise software products.
  • B. Sun Microsystems
    Sun Microsystems was a pioneering American technology company best known for developing the Java programming language, the Solaris operating system, and high-performance networked computer systems.
  • C. Oracle
    "Oracle" is a popular electronic dance music track by Australian DJ and producer Timmy Trumpet, known for its energetic festival sound and heavy drops.
  • D. Oracle
    "Oracle" is a science fiction novel by British author Ian Watson, known for its imaginative exploration of advanced technology and human consciousness.
  • E. Oracle
    "Oracle" is a critically acclaimed acoustic guitar album by virtuoso musician Michael Hedges, showcasing his innovative fingerstyle technique and genre-blending compositions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3377c48190890c17407b9527d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1285ba1c88190b4bc0c73f3cf04e1 completed April 28, 2026, 9:36 p.m.
Created at: April 16, 2026, 8:27 p.m.