Triple
T3426720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acorn RISC Machine |
E72244
|
entity |
| Predicate | endianSupport |
P11220
|
FINISHED |
| Object | little-endian |
—
|
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: little-endian | Statement: [Acorn RISC Machine, endianSupport, little-endian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endianSupport Context triple: [Acorn RISC Machine, endianSupport, little-endian]
-
A.
endianess
Indicates the byte order relationship specifying how multi-byte data is arranged in memory or during transmission (e.g., little-endian vs big-endian).
-
B.
endianness
chosen
Indicates the ordering of bytes used to represent multi-byte data values in memory or storage.
-
C.
isEndiannessAgnostic
Indicates that the behavior or data format is independent of byte order, producing correct results regardless of the system’s endianness.
-
D.
supportsByteAddressing
Indicates that one entity provides the capability for direct access to individual bytes within its addressable memory or data space for another entity.
-
E.
laterSupportedArchitecture
Indicates that one architecture provides support for another architecture that was introduced or adopted at a later time.
- 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_69ad85ae14308190bcbc25cfa0246c0b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb982792c8190b1163eee4252210f |
completed | March 8, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69adadfea024819094b41a13bc004bda |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:15 p.m.