Triple

T9532640
Position Surface form Disambiguated ID Type / Status
Subject VMS E229932 entity
Predicate runsOn P23 FINISHED
Object VAX E183315 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: VAX | Statement: [VMS, runsOn, VAX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VAX
Context triple: [VMS, runsOn, VAX]
  • A. VAX chosen
    VAX is a line of 32-bit minicomputers and their associated architecture developed by Digital Equipment Corporation, widely used in the late 20th century for time-sharing and scientific computing.
  • B. VAX minicomputer
    The VAX minicomputer is a line of 32-bit computers developed by Digital Equipment Corporation (DEC) that became widely used in the late 1970s and 1980s for timesharing, scientific, and business applications.
  • C. MicroVAX
    MicroVAX is a family of smaller, lower-cost minicomputers in Digital Equipment Corporation’s VAX line, designed to bring VAX architecture to departmental and office environments.
  • D. Prime Computer
    Prime Computer was a U.S. minicomputer manufacturer prominent in the 1970s and 1980s, known for its PRIMOS operating system and 16-bit and 32-bit business systems.
  • E. IBM VSE
    IBM VSE is an IBM mainframe operating system designed for smaller and midrange systems, focused on batch and transaction processing in business environments.
  • 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_69ca8479934c81908006d0e6e970ae05 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98b5651881908241b040f123c6a8 completed April 1, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d189e883b48190a98dfcde2cd0fba0 completed April 4, 2026, 10 p.m.
Created at: March 30, 2026, 8 p.m.