Triple
T12516380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | POSIX ustar format |
E299200
|
entity |
| Predicate | versionFieldLength |
P33158
|
FINISHED |
| Object | 2 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: 2 bytes | Statement: [POSIX ustar format, versionFieldLength, 2 bytes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: versionFieldLength Context triple: [POSIX ustar format, versionFieldLength, 2 bytes]
-
A.
longVersionLength
Indicates that one entity specifies the length or duration of a more detailed or extended version of another entity.
-
B.
singleVersionLength
Indicates the length or duration associated with a single version of something (e.g., an item, product, or media instance).
-
C.
editedVersionLength
Indicates the length or duration of something after it has been edited or modified from its original form.
-
D.
extensionLength
Indicates the length or magnitude of an extension from a reference point or base object.
-
E.
identifierLength
chosen
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.