Triple
T29871111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nintendo Revolution |
E758596
|
entity |
| Predicate | emphasizedDesignGoals |
P65476
|
FINISHED |
| Object | accessibility |
—
|
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: accessibility | Statement: [Nintendo Revolution, emphasizedDesignGoals, accessibility]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emphasizedDesignGoals Context triple: [Nintendo Revolution, emphasizedDesignGoals, accessibility]
-
A.
overallDesignGoal
Indicates that one entity specifies or represents the primary design objective or guiding design intent for another entity.
-
B.
designEmphasizes
chosen
Indicates that a design intentionally places special importance or focus on a particular feature, principle, or aspect over others.
-
C.
appliesToDesignGoal
Indicates that something (such as a method, rule, or constraint) is relevant or intended to be used for achieving a particular design goal.
-
D.
benefitDesignGoal
Indicates that something contributes positively toward achieving a particular design goal.
-
E.
exhibitDesignGoal
Indicates that something embodies or demonstrates a particular design objective or intended design outcome.
- 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_69f2245d0d7081909e37ee328542bcd7 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f676c577fc819089d5842f5edc4148 |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f66ac32b60819092290b2de35988d3 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 29, 2026, 5:53 p.m.