Triple
T12516374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | POSIX ustar format |
E299200
|
entity |
| Predicate | fileNameFieldLength |
P31494
|
FINISHED |
| Object | 100 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: 100 bytes | Statement: [POSIX ustar format, fileNameFieldLength, 100 bytes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fileNameFieldLength Context triple: [POSIX ustar format, fileNameFieldLength, 100 bytes]
-
A.
fileNameLimit
Indicates a constraint or maximum allowed length or format for a file’s name in a given context.
-
B.
hasFieldLength
Indicates that an entity possesses a field whose length (such as number of characters or size) is specified or constrained.
-
C.
maximumFileNameLength
chosen
Indicates the maximum number of characters allowed in a file name within a given system or context.
-
D.
formLength
Indicates the length or extent of a form, typically measured in units such as characters, fields, or physical dimensions.
-
E.
identifierLength
Indicates the length or number of characters in an entity’s identifier.
- 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.