Triple
T36165632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WDC 65C816 |
E1045989
|
entity |
| Predicate | emulationModeAccumulatorSize |
P184984
|
FINISHED |
| Object | 8-bit |
—
|
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: 8-bit | Statement: [WDC 65C816, emulationModeAccumulatorSize, 8-bit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emulationModeAccumulatorSize Context triple: [WDC 65C816, emulationModeAccumulatorSize, 8-bit]
-
A.
stateSize
Indicates the relative or absolute physical extent or dimensions of a state, such as its area or population size.
-
B.
mainMemorySize
Indicates the relationship specifying the size or capacity of an entity's main memory.
-
C.
intendedEnsembleSize
Indicates the number of participants or elements that a group, collection, or ensemble is designed or planned to contain.
-
D.
hasApproximateNumberOfMiniatures
Indicates that an entity is associated with an estimated or non-exact count of miniatures.
-
E.
instructionCacheSize
Indicates the size or capacity of the instruction cache associated with a processor or computing component.
- 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_69f76e396bc88190b99d221bff9be27a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69f7b69a74a08190b31b1201278a2c57 |
completed | May 3, 2026, 8:56 p.m. |
Created at: May 3, 2026, 4:08 p.m.