Triple
T15372032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Privacy Cleaner |
E367570
|
entity |
| Predicate | dataTypeCleared |
P118491
|
FINISHED |
| Object | local browser data |
—
|
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: local browser data | Statement: [Privacy Cleaner, dataTypeCleared, local browser data]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataTypeCleared Context triple: [Privacy Cleaner, dataTypeCleared, local browser data]
-
A.
datumType
Indicates the specific kind or category of data that characterizes or classifies a datum.
-
B.
dataTypeCollected
Indicates that a specific type or category of data is gathered or recorded in the context of an entity or process.
-
C.
dataTypes
Indicates that one entity specifies or defines the kinds or formats of data that are valid or expected for another entity.
-
D.
analyzesDataType
Indicates that one entity examines, interprets, or evaluates a particular type or category of data.
-
E.
dataTypeDisplayed
Indicates that a particular data type is currently being shown or rendered in a given context or interface.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e5c1d548190930bfaf0861595ae |
completed | April 16, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69ded27742a881909cd73cc5c7d062fd |
completed | April 14, 2026, 11:49 p.m. |
| PDg | Predicate description generation | batch_69ded57005608190886cd01f640dfedb |
completed | April 15, 2026, 12:01 a.m. |
Created at: April 10, 2026, 3:18 a.m.