Triple
T5890928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | file (Unix) |
E130984
|
entity |
| Predicate | supportsCompressedFiles |
P67298
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [file (Unix), supportsCompressedFiles, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsCompressedFiles Context triple: [file (Unix), supportsCompressedFiles, yes]
-
A.
supportsExtentsForFiles
Indicates that a system or component provides support for managing or using extent-based storage structures specifically for files.
-
B.
compressionType
Indicates the method or format used to compress data or content in the relationship.
-
C.
supportsExtensionsFrom
Indicates that one entity is capable of recognizing, loading, or interoperating with extensions originating from another entity.
-
D.
supportsParallelEncryption
Indicates that the subject is capable of performing encryption operations in parallel, rather than strictly sequentially.
-
E.
supportsType
Indicates that one entity is capable of handling, accepting, or being compatible with a specified type.
- F. None of above. chosen
Provenance (4 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_69c00857439c819095950754176aa58a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03fe07b7081909f8577ec3a9a1a8d |
completed | March 22, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69c0334bdc308190ad0d7199ab975588 |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c03fdf954c8190ae97a5c9ce40bdfa |
completed | March 22, 2026, 7:15 p.m. |
Created at: March 22, 2026, 3:58 p.m.