Triple

T15999620
Position Surface form Disambiguated ID Type / Status
Subject Visual Memory Unit E388061 entity
Predicate alsoKnownAs P39 FINISHED
Object VMU E388060 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: VMU | Statement: [Visual Memory Unit, alsoKnownAs, VMU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VMU
Context triple: [Visual Memory Unit, alsoKnownAs, VMU]
  • A. VMU chosen
    The VMU (Visual Memory Unit) is a memory card and secondary screen accessory for the Sega Dreamcast that provides game save storage and mini-game functionality.
  • B. VMC
    VMC is the Venus Monitoring Camera, a wide-angle imaging instrument on the European Space Agency’s Venus Express spacecraft used to study Venus’s atmosphere and cloud dynamics.
  • C. VMF
    VMF is the Russian abbreviation for the Soviet Navy, the maritime branch of the former Soviet Union’s armed forces.
  • D. VMAC
    VMAC is the Virginia Mason Athletic Center, the Seattle Seahawks’ waterfront headquarters and primary training facility in Renton, Washington.
  • E. VMAC
    VMAC is a high-speed, universal-hash-based message authentication code designed for efficient, secure authentication on modern processors.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1578a0adc819097c6a23514182173 completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf1edc7c81908fdd0fa00418d7a7 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:55 a.m.