Triple
T12516373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | POSIX ustar format |
E299200
|
entity |
| Predicate | recordSize |
P21839
|
FINISHED |
| Object | multiple of 512 bytes |
—
|
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: multiple of 512 bytes | Statement: [POSIX ustar format, recordSize, multiple of 512 bytes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordSize Context triple: [POSIX ustar format, recordSize, multiple of 512 bytes]
-
A.
stateSizeBytes
chosen
Indicates the size of a given state or stateful data in terms of the number of bytes it occupies.
-
B.
stateSize
Indicates the relative or absolute physical extent or dimensions of a state, such as its area or population size.
-
C.
blockSize
Indicates the size or capacity of a discrete block unit within a larger structure or system.
-
D.
indexSize
Indicates the size or magnitude of an index associated with an entity, such as its length, capacity, or storage footprint.
-
E.
recordStructure
Indicates a relationship where an entity defines, organizes, or specifies the internal layout and components of a record or data structure.
- 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_69d6ada5cdd48190860d9ce30aff69be |
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.