Triple
T8285012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | tune2fs |
E193767
|
entity |
| Predicate | canDisplay |
P41649
|
FINISHED |
| Object | filesystem information |
—
|
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: filesystem information | Statement: [tune2fs, canDisplay, filesystem information]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canDisplay Context triple: [tune2fs, canDisplay, filesystem information]
-
A.
canRender
Indicates that one entity has the capability or functionality to generate or display another entity in a visual or presentable form.
-
B.
canExhibit
Indicates that one entity has the ability or potential to display, manifest, or show a particular property, behavior, or characteristic.
-
C.
hasDisplayType
Indicates the type or category of display associated with an entity, such as the format, mode, or presentation style used to show its content.
-
D.
displaysFeature
chosen
Indicates that one entity presents, shows, or makes visible a particular feature or characteristic of another entity.
-
E.
canRepresent
Indicates that one entity is capable of serving as a valid stand-in, proxy, or expression for another entity in a given context.
- 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_69ca82e217a48190880695635c44b2ed |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7ad20ae481908179aba245c73fad |
completed | March 31, 2026, 7:42 a.m. |
| PD | Predicate disambiguation | batch_69cb70ad9fc081908741f8c4a4141edf |
completed | March 31, 2026, 6:58 a.m. |
Created at: March 30, 2026, 5:52 p.m.