Triple
T6991549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UTF-8 |
E162096
|
entity |
| Predicate | byteOrder |
P11220
|
FINISHED |
| Object | byte-order independent |
—
|
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: byte-order independent | Statement: [UTF-8, byteOrder, byte-order independent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: byteOrder Context triple: [UTF-8, byteOrder, byte-order independent]
-
A.
endianness
chosen
Indicates the ordering of bytes used to represent multi-byte data values in memory or storage.
-
B.
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).
-
C.
isEndiannessAgnostic
Indicates that the behavior or data format is independent of byte order, producing correct results regardless of the system’s endianness.
-
D.
representationOrder
Indicates the sequence or hierarchy in which representations of entities are arranged or prioritized relative to one another.
-
E.
channelOrder
Indicates the sequence or priority assigned to channels relative to one another.
- 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_69c68856d7808190ab33ee914640281b |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbc1f63c8190837cfd71cf5ed613 |
completed | March 27, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c4a18881908d267137daed828b |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:32 p.m.