Triple
T8413353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Human68k |
E198673
|
entity |
| Predicate | supportsPathSeparator |
P11855
|
FINISHED |
| Object | backslash |
—
|
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: backslash | Statement: [Human68k, supportsPathSeparator, backslash]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsPathSeparator Context triple: [Human68k, supportsPathSeparator, backslash]
-
A.
hasSeparator
chosen
Indicates that one entity includes, uses, or is divided by another entity that serves as a separator or delimiting element.
-
B.
supportsDelimiterVariation
Indicates that one entity is capable of handling or accommodating different types or formats of delimiters used by another entity.
-
C.
supportsCaseSensitiveFilenames
Indicates that the subject is capable of handling or distinguishing filenames based on letter casing, treating differently cased names as distinct.
-
D.
supportsSymlinkDereference
Indicates that the subject is capable of correctly following and resolving symbolic links (symlinks) when accessing or operating on a target path.
-
E.
supportsExtensionsFrom
Indicates that one entity is capable of recognizing, loading, or interoperating with extensions originating from another entity.
- 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb83e18e7c8190a30b14136dee3d93 |
completed | March 31, 2026, 8:20 a.m. |
| PD | Predicate disambiguation | batch_69cb70d473dc8190af8ea81ee5aa970d |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:06 p.m.