Triple
T12514562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | wc |
E299162
|
entity |
| Predicate | byteCountBasis |
P21839
|
FINISHED |
| Object | raw bytes in file |
—
|
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: raw bytes in file | Statement: [wc, byteCountBasis, raw bytes in file]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: byteCountBasis Context triple: [wc, byteCountBasis, raw bytes in file]
-
A.
hasBaseCount
Indicates the number of base units or fundamental components associated with an entity.
-
B.
encodingBasisFor
Indicates that one encoding scheme serves as the foundational or reference basis for defining or interpreting another encoding.
-
C.
stateSizeBytes
chosen
Indicates the size of a given state or stateful data in terms of the number of bytes it occupies.
-
D.
minBytesPerCodePoint
Indicates the minimum number of bytes required to represent a single code point in the given encoding or data representation.
-
E.
blockSize
Indicates the size or capacity of a discrete block unit within a larger structure or system.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| PD | Predicate disambiguation | batch_69d954096af88190b6be81b008c82139 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.