Triple
T7716359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intel 8008 |
E174894
|
entity |
| Predicate | instructionCount |
P28524
|
FINISHED |
| Object | approximately 48 instructions |
—
|
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: approximately 48 instructions | Statement: [Intel 8008, instructionCount, approximately 48 instructions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: instructionCount Context triple: [Intel 8008, instructionCount, approximately 48 instructions]
-
A.
instructionLength
Indicates the duration or amount of time required to carry out a given instruction or operation.
-
B.
instructionSetSize
chosen
Indicates the size or number of instructions defined in an instruction set.
-
C.
numberOfNewInstructions
Indicates the count of newly added or introduced instructions associated with an entity or process.
-
D.
instructionLevel
Indicates the degree or stage of guidance, teaching, or educational complexity associated with an action or relationship.
-
E.
movementCount
Indicates the number of times a movement or relocation action has occurred between the related entities.
- 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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702ebb7448190ae8d47fe0cbb0907 |
completed | March 27, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69c701683dec8190be9861e592aa8ce0 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:04 p.m.