Triple

T20165737
Position Surface form Disambiguated ID Type / Status
Subject Ricoh 2C02 PPU E491820 entity
Predicate onScreenColors P30793 FINISHED
Object 25 colors approximately LITERAL 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: 25 colors approximately | Statement: [Ricoh 2C02 PPU, onScreenColors, 25 colors approximately]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: onScreenColors
Context triple: [Ricoh 2C02 PPU, onScreenColors, 25 colors approximately]
  • A. maxColorsOnScreen chosen
    Indicates the maximum number of distinct colors that can be displayed on the screen at the same time.
  • B. onScreenStatus
    Indicates that an entity’s current presence or visibility state is being specified relative to a screen or display.
  • C. hairColorOnScreen
    Indicates the hair color that an entity appears to have when shown or rendered on a screen.
  • D. onScreenDynamicWith
    Indicates that two entities are simultaneously visible and interacting or changing together within the same on-screen context.
  • E. hasScreen
    Indicates that an entity is equipped with or includes a screen or display component.
  • F. None of above.

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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e668442d2c81908bb1a0fac9895b5e completed April 20, 2026, 5:54 p.m.
PD Predicate disambiguation batch_69e55b0c11cc8190836d1eee5945f000 completed April 19, 2026, 10:45 p.m.
Created at: April 11, 2026, 11:35 p.m.