Triple
T5890929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | file (Unix) |
E130984
|
entity |
| Predicate | supportsSymlinkDereference |
P67299
|
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), supportsSymlinkDereference, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsSymlinkDereference Context triple: [file (Unix), supportsSymlinkDereference, yes]
-
A.
supportsReferenceModes
Indicates that an entity provides or is compatible with specific reference modes for identifying or accessing other entities.
-
B.
supportsCaseSensitiveFilenames
Indicates that the subject is capable of handling or distinguishing filenames based on letter casing, treating differently cased names as distinct.
-
C.
hasMirrorSupportSystem
Indicates that an entity is equipped with or connected to a system that supports or stabilizes a mirror.
-
D.
supportsExtentsForFiles
Indicates that a system or component provides support for managing or using extent-based storage structures specifically for files.
-
E.
supportsLinks
Indicates that one entity provides backing, endorsement, or assistance to another entity through connections or references (such as hyperlinks or relational links).
- 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.