Triple
T7032595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IA-32 |
E163304
|
entity |
| Predicate | compatibilityModel |
P74568
|
FINISHED |
| Object |
CISC
CISC (Complex Instruction Set Computer) is a type of computer architecture characterized by a large, rich set of instructions that can execute complex operations in a single command, often used to enhance code density and ease of programming.
|
E637384
|
NE FINISHED |
How this triple was built (5 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: CISC | Statement: [IA-32, compatibilityModel, CISC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CISC Context triple: [IA-32, compatibilityModel, CISC]
-
A.
CISC
CISC is an Organization of American States body that coordinates the management of Inter-American summits and promotes civil society participation in those processes.
-
B.
RISC architecture
RISC architecture is a CPU design philosophy that uses a small, highly optimized set of simple instructions to achieve high performance and efficiency.
-
C.
Harvard architecture
Harvard architecture is a computer architecture design that uses separate memory and signal pathways for instructions and data, enabling simultaneous access and often improved performance over unified-memory designs.
-
D.
von Neumann architecture
The von Neumann architecture is a foundational computer design model in which a single memory stores both program instructions and data, executed sequentially by a central processing unit.
-
E.
MIPS
MIPS is a RISC (Reduced Instruction Set Computer) processor architecture widely used in embedded systems, networking equipment, and academic settings.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CISC Triple: [IA-32, compatibilityModel, CISC]
Generated description
CISC (Complex Instruction Set Computer) is a type of computer architecture characterized by a large, rich set of instructions that can execute complex operations in a single command, often used to enhance code density and ease of programming.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CISC Target entity description: CISC (Complex Instruction Set Computer) is a type of computer architecture characterized by a large, rich set of instructions that can execute complex operations in a single command, often used to enhance code density and ease of programming.
-
A.
CISC
CISC is an Organization of American States body that coordinates the management of Inter-American summits and promotes civil society participation in those processes.
-
B.
RISC architecture
RISC architecture is a CPU design philosophy that uses a small, highly optimized set of simple instructions to achieve high performance and efficiency.
-
C.
Harvard architecture
Harvard architecture is a computer architecture design that uses separate memory and signal pathways for instructions and data, enabling simultaneous access and often improved performance over unified-memory designs.
-
D.
von Neumann architecture
The von Neumann architecture is a foundational computer design model in which a single memory stores both program instructions and data, executed sequentially by a central processing unit.
-
E.
MIPS
MIPS is a RISC (Reduced Instruction Set Computer) processor architecture widely used in embedded systems, networking equipment, and academic settings.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: compatibilityModel Context triple: [IA-32, compatibilityModel, CISC]
-
A.
hasHardwareCompatibilityWith
Indicates that two hardware components or systems can operate together correctly and reliably without conflicts or incompatibilities.
-
B.
isGenerallyCompatibleWith
Indicates that two entities can typically function or coexist together without significant conflict, issues, or need for special adaptation.
-
C.
checksCompatibilityWith
Indicates that one entity evaluates whether it is compatible or can function harmoniously with another entity.
-
D.
hasSoftwareCompatibilityWith
Indicates that one software system can operate correctly and effectively with another software system, without conflicts or required modifications.
-
E.
compatibleSign
Indicates that two entities are considered astrologically harmonious or well-matched based on their zodiac signs.
- F. None of above. chosen
Provenance (7 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_69c6885d691c81908cf7d31083113886 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e458ad9c81908c3f492b317ce291 |
completed | March 27, 2026, 8:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c775980920819081d31b8d2843fb3d |
completed | March 28, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_69c77aa1c704819088a9561ac55f9037 |
completed | March 28, 2026, 6:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c77b082f3c8190a649297ce0f816bb |
completed | March 28, 2026, 6:54 a.m. |
| PD | Predicate disambiguation | batch_69c6e1b9a2488190aea351d96afa5a12 |
completed | March 27, 2026, 7:59 p.m. |
| PDg | Predicate description generation | batch_69c6e456e89481908df42a1b4232a4a0 |
completed | March 27, 2026, 8:11 p.m. |
Created at: March 27, 2026, 2:36 p.m.