Triple
T20165274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ricoh 2A03 |
E491810
|
entity |
| Predicate | poweringSystem |
P138914
|
FINISHED |
| Object | NES main CPU and sound |
—
|
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: NES main CPU and sound | Statement: [Ricoh 2A03, poweringSystem, NES main CPU and sound]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: poweringSystem Context triple: [Ricoh 2A03, poweringSystem, NES main CPU and sound]
-
A.
powering
Indicates that one entity supplies energy or power that enables another entity to operate or function.
-
B.
powerConversionSystem
Indicates a system that transforms electrical power from one form, level, or source into another to meet specific usage or distribution requirements.
-
C.
hasPowerSupplyType
Indicates that an entity is associated with a specific type or category of power supply it uses or requires.
-
D.
suppliesPowerTo
Indicates that one entity provides electrical or energy power required for the operation or functioning of another entity.
-
E.
powerSupplyCapability
Indicates the ability of one entity to provide electrical power to another entity or system.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69e56700b1a08190ace53cf95827d72d |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 11, 2026, 11:35 p.m.