Triple
T27657735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R7 (program counter) |
E697037
|
entity |
| Predicate | isGeneralPurposeIn |
P162923
|
FINISHED |
| Object | PDP-11 programmer’s model of 8 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: PDP-11 programmer’s model of 8 registers | Statement: [R7 (program counter), isGeneralPurposeIn, PDP-11 programmer’s model of 8 registers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isGeneralPurposeIn Context triple: [R7 (program counter), isGeneralPurposeIn, PDP-11 programmer’s model of 8 registers]
-
A.
hasGeneralPurpose
Indicates that one entity serves as the broad, overarching function, role, or intended use of another entity.
-
B.
isMultiPurpose
Indicates that something is designed or used to serve multiple functions or purposes rather than a single, specialized one.
-
C.
usedAsGeneral
Indicates that an entity served in the role or capacity of a general, typically as a high-ranking military commander.
-
D.
isIntendedForUseBy
Indicates that something is designed, meant, or purposed to be used by a particular entity or group.
-
E.
isSometimesUsedFor
Indicates that something serves a particular purpose or function on some occasions, but not consistently or exclusively.
- 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_69ef590b85a4819083ec7c12bd3c9c10 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f631dad37c8190ab1b5918ad8a928a |
completed | May 2, 2026, 5:18 p.m. |
| PD | Predicate disambiguation | batch_69f62c1a92648190835a2c5250d8c758 |
completed | May 2, 2026, 4:53 p.m. |
| PDg | Predicate description generation | batch_69f6305219f08190b55f6193a4a49984 |
completed | May 2, 2026, 5:11 p.m. |
Created at: April 27, 2026, 2:35 p.m.