Triple
T30205114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Motorola 56001 |
E767890
|
entity |
| Predicate | programWordLength |
P44870
|
FINISHED |
| Object | 24-bit program word |
—
|
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: 24-bit program word | Statement: [Motorola 56001, programWordLength, 24-bit program word]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: programWordLength Context triple: [Motorola 56001, programWordLength, 24-bit program word]
-
A.
wordLength
Indicates that there is a relationship specifying the number of characters (length) in a given word.
-
B.
hasWordSize
chosen
Indicates that an entity possesses or is characterized by a specific word length or word-based size.
-
C.
instructionLength
Indicates the duration or amount of time required to carry out a given instruction or operation.
-
D.
wordLengthCategory
Indicates the categorical classification of a word based on its length (e.g., short, medium, long).
-
E.
programLength
Indicates the duration or total length of a program, typically measured in time or size.
- 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_69f2247eb0848190b4032f302d39c0d9 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d26ceb08819091c71c001e954936 |
completed | May 3, 2026, 4:43 a.m. |
Created at: April 29, 2026, 7:31 p.m.