Triple
T14370963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thumb instruction set |
E356356
|
entity |
| Predicate | encodingLength |
P70658
|
FINISHED |
| Object | 16-bit fixed-length 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: 16-bit fixed-length instructions | Statement: [Thumb instruction set, encodingLength, 16-bit fixed-length instructions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: encodingLength Context triple: [Thumb instruction set, encodingLength, 16-bit fixed-length instructions]
-
A.
outputLength
Indicates the length or size of the result produced by a process, function, or operation.
-
B.
encodingWidth
chosen
Indicates the width dimension used when encoding a signal, image, or data stream.
-
C.
identifierLength
Indicates the length or number of characters in an entity’s identifier.
-
D.
nonceLength
Indicates the length or size of a nonce value used in a cryptographic or security-related context.
-
E.
IVLength
Indicates the measured length of an intravenous (IV) line or catheter used in a medical 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8fb2082c8190b42cc5f2bab4f574 |
completed | April 14, 2026, 7:04 p.m. |
| PD | Predicate disambiguation | batch_69de2a9cb3e081909f6b33fdd939bb9e |
completed | April 14, 2026, 11:53 a.m. |
Created at: April 10, 2026, 1:15 a.m.