Triple
T8470513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macintosh File System |
E200268
|
entity |
| Predicate | fileIdentification |
P3732
|
FINISHED |
| Object | type and creator codes instead of extensions |
—
|
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: type and creator codes instead of extensions | Statement: [Macintosh File System, fileIdentification, type and creator codes instead of extensions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fileIdentification Context triple: [Macintosh File System, fileIdentification, type and creator codes instead of extensions]
-
A.
fileTypeIIDMeaning
Indicates that the predicate specifies the meaning or interpretation associated with a particular file type identifier (IID).
-
B.
identifierFor
chosen
Indicates that one entity serves as a unique identifying label or code for another entity.
-
C.
labelFile
Indicates assigning a descriptive label or tag to a file.
-
D.
recognizesDocument
Indicates that one entity acknowledges the validity or authenticity of a document associated with another entity.
-
E.
identificationType
Indicates the specific kind or category of identification associated with an entity or relationship.
- 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_69ca831a4f348190bfdd09250e86ae35 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4f234c481909534de6fd702f4cf |
completed | March 31, 2026, 3:14 p.m. |
| PD | Predicate disambiguation | batch_69cbd10072cc819084be1ed9ac7ebe9d |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:11 p.m.