Triple
T26715066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Patterson |
E673526
|
entity |
| Predicate | theoryOrConcept |
P161156
|
FINISHED |
| Object | RISC-V advocacy and promotion |
—
|
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: RISC-V advocacy and promotion | Statement: [David Patterson, theoryOrConcept, RISC-V advocacy and promotion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: theoryOrConcept Context triple: [David Patterson, theoryOrConcept, RISC-V advocacy and promotion]
-
A.
scientificConcept
Indicates that one entity is a scientific idea, principle, or theory that defines, explains, or characterizes the other entity.
-
B.
coversTheory
Indicates that one entity includes, addresses, or explains the theoretical concepts associated with another entity.
-
C.
detailsConcept
Indicates that one entity provides additional information, clarification, or elaboration about a concept represented by another entity.
-
D.
presentsTheory
Indicates that one entity formally puts forward or explains a theory to another entity or audience.
-
E.
philosophicalConcept
Indicates that one entity is a philosophical concept that characterizes, explains, or is thematically central to the other entity.
- 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_69eecda3a22881908f3061c760b9d542 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f617c35620819092446c9841b1e6c4 |
completed | May 2, 2026, 3:26 p.m. |
| PD | Predicate disambiguation | batch_69f60b8dfa0c8190864e1a940024d0a0 |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f6106d346c8190868489f36c65b6ec |
completed | May 2, 2026, 2:55 p.m. |
Created at: April 27, 2026, 3:37 a.m.