Triple
T35299901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arithmetic logic unit |
E1019475
|
entity |
| Predicate | performsOperationOn |
P24
|
FINISHED |
| Object | binary data |
—
|
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: binary data | Statement: [Arithmetic logic unit, performsOperationOn, binary data]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performsOperationOn Context triple: [Arithmetic logic unit, performsOperationOn, binary data]
-
A.
performsOperation
chosen
Indicates that one entity carries out or executes a specific operation on or for another entity.
-
B.
definesOperationOn
Indicates that one entity specifies or establishes the operation that is applied to another entity.
-
C.
operationOf
Indicates that one entity is the function, activity, or process carried out by another entity (such as a system, device, or organization).
-
D.
performsAction
Indicates that an entity carries out, executes, or engages in a specified action or activity.
-
E.
operatesOnPropertyOf
Indicates that an action or process is applied specifically to a property or attribute of an entity, rather than to the entity itself.
- 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_69f76de7eedc8190a3bdc64ebbc05b42 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fef8c3f2388190b995ec173512945a |
completed | May 9, 2026, 9:05 a.m. |
| PD | Predicate disambiguation | batch_69fef65975608190960b78d27e806d4f |
completed | May 9, 2026, 8:54 a.m. |
Created at: May 3, 2026, 4:03 p.m.