Triple
T7980506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | System Restore |
E185557
|
entity |
| Predicate | canFix |
P65446
|
FINISHED |
| Object | problems caused by faulty drivers |
—
|
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: problems caused by faulty drivers | Statement: [System Restore, canFix, problems caused by faulty drivers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canFix Context triple: [System Restore, canFix, problems caused by faulty drivers]
-
A.
fixedBy
Indicates that one entity is repaired, corrected, or resolved through the action or intervention of another entity.
-
B.
canBeCorrectedBy
chosen
Indicates that something has the potential to be made accurate, fixed, or improved through the intervention or action of a specified agent or method.
-
C.
canAlsoBe
Indicates that something has an additional possible state, role, or classification beyond its primary one.
-
D.
repairedIn
Indicates that an item or object underwent repair within a specified location or during a particular time period.
-
E.
typeOfFixing
Indicates the specific method or manner in which one entity is fastened, attached, or secured to another.
- 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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c274ce48190854d389d43ce14b8 |
completed | March 31, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69cb048009a08190b4c577208a9f8f76 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:15 p.m.