Triple
T26333617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zilog Z8000 |
E662458
|
entity |
| Predicate | hasDedicatedProgramCounter |
P85087
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Zilog Z8000, hasDedicatedProgramCounter, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDedicatedProgramCounter Context triple: [Zilog Z8000, hasDedicatedProgramCounter, true]
-
A.
hasProgramCounter
chosen
Indicates that an entity is associated with a program counter, i.e., a register or mechanism that tracks the address of the next instruction to be executed.
-
B.
hasStackPointer
Indicates that an entity maintains or uses a specific stack pointer reference within a stack-based memory or execution context.
-
C.
hasAlternateRegisterSet
Indicates that an entity is associated with an additional, distinct set of registers that can be used as an alternative to its primary register set.
-
D.
hasEngineProgram
Indicates that an entity is associated with or participates in a specific engine-related program.
-
E.
numberOfGeneralPurposeRegisters
Indicates the quantity of general-purpose registers associated with or available in a given computing context.
- 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_69ee812f32748190871d970c4e2a8ddf |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f6df450014819099d118e5c2d697fa |
completed | May 3, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69f6de07836481908785cde9c511920b |
completed | May 3, 2026, 5:32 a.m. |
Created at: April 26, 2026, 10:35 p.m.