Triple
T12620177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | xargs |
E301356
|
entity |
| Predicate | canBeMadeSafeForFilenamesWith |
P105945
|
FINISHED |
| Object | -0 option |
—
|
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: -0 option | Statement: [xargs, canBeMadeSafeForFilenamesWith, -0 option]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeMadeSafeForFilenamesWith Context triple: [xargs, canBeMadeSafeForFilenamesWith, -0 option]
-
A.
supportsCaseSensitiveFilenames
Indicates that the subject is capable of handling or distinguishing filenames based on letter casing, treating differently cased names as distinct.
-
B.
canBeFamilyName
Indicates that something is capable of functioning as a family name or surname in at least one context.
-
C.
canBeSavedAs
Indicates that one entity is capable of being stored or preserved in the form or format of another entity.
-
D.
canBeFormalName
Indicates that something is suitable or valid to be used as a formal or official name.
-
E.
renamingSupportedBy
Indicates that one entity provides the capability or functionality to perform renaming operations on another entity.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69d960b195108190ac25bd95e644ace4 |
completed | April 10, 2026, 8:42 p.m. |
| PDg | Predicate description generation | batch_69d96179c7648190a05a13991d62bebb |
completed | April 10, 2026, 8:45 p.m. |
Created at: April 9, 2026, 5:13 p.m.