Triple
T21402380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Art (Cornell University) |
E527942
|
entity |
| Predicate | hasTypeOfInstruction |
P143830
|
FINISHED |
| Object | studio instruction |
—
|
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: studio instruction | Statement: [Department of Art (Cornell University), hasTypeOfInstruction, studio instruction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfInstruction Context triple: [Department of Art (Cornell University), hasTypeOfInstruction, studio instruction]
-
A.
hasInstructionPrefix
Indicates that one entity provides an initial segment or starting portion that serves as the instruction prefix for another entity.
-
B.
instructionSetType
Indicates the type or category of an instruction set associated with a processor or computing architecture.
-
C.
hasInstructionSet
Indicates that one entity (typically a processor or system) is defined as using or supporting a particular instruction set.
-
D.
hasInstructionModel
Indicates that one entity is associated with, or utilizes, a specific instruction-oriented model to guide its behavior or processing.
-
E.
hasTypeOfInstrumentation
Indicates that one entity uses, involves, or is characterized by a particular type of instrumentation.
- 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b171336c819083ae5e2c0f5d4b95 |
completed | April 22, 2026, 11:30 a.m. |
| PD | Predicate disambiguation | batch_69e61633f8208190a2a849457c4e4198 |
completed | April 20, 2026, 12:04 p.m. |
| PDg | Predicate description generation | batch_69e6190163448190a2404b396215c686 |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 16, 2026, 5:18 p.m.