Triple
T26176961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Z84C00 |
E654567
|
entity |
| Predicate | hasRegisterSet |
P76104
|
FINISHED |
| Object | Z80 general-purpose registers |
—
|
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: Z80 general-purpose registers | Statement: [Z84C00, hasRegisterSet, Z80 general-purpose registers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegisterSet Context triple: [Z84C00, hasRegisterSet, Z80 general-purpose registers]
-
A.
hasRegister
Indicates that one entity possesses, contains, or is associated with a specific register (such as a record, log, or hardware register).
-
B.
hasRegisterSystem
Indicates that an entity uses or is associated with a particular register system (e.g., a system for recording, tracking, or registering items, events, or participants).
-
C.
hasAlternateRegisterSet
chosen
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.
hasRegisterStack
Indicates that an entity possesses or uses a stack-based organization of registers for storing and managing values or state.
-
E.
hasStandardRegister
Indicates that something is expressed or occurs in a standard, neutral, or non-marked linguistic register.
- 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_69ee5b45873c81909499203612d05d07 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69fd5bf69acc819092a01e4259785dc3 |
completed | May 8, 2026, 3:43 a.m. |
| PD | Predicate disambiguation | batch_69fd59b3f4ac8190a7f9dd3142da6e09 |
completed | May 8, 2026, 3:34 a.m. |
Created at: April 26, 2026, 8:38 p.m.