Triple
T22829953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterfox |
E565769
|
entity |
| Predicate | privacyStance |
P15689
|
FINISHED |
| Object | reduced data collection compared to stock Firefox |
—
|
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: reduced data collection compared to stock Firefox | Statement: [Waterfox, privacyStance, reduced data collection compared to stock Firefox]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: privacyStance Context triple: [Waterfox, privacyStance, reduced data collection compared to stock Firefox]
-
A.
privacyProperty
Indicates that one entity has a characteristic, rule, or condition specifically related to privacy in the context of the relationship.
-
B.
privacyCharacteristic
chosen
Indicates the specific privacy-related property or feature that characterizes how information is handled, protected, or exposed in a given context.
-
C.
soughtPrivacy
Indicates that an entity intentionally attempted to obtain or maintain privacy from others.
-
D.
dataPolicy
Indicates that one entity defines or governs how data related to another entity is collected, used, stored, or shared.
-
E.
dataProtectionTradeoff
Indicates a relationship where enhancing data protection or privacy comes at the cost of reduced utility, accessibility, or efficiency in data use, and vice versa.
- 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_69e24585ab1c81909b2b5065d15805d5 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e2ac8d48190b6dc7edc5ad82bc7 |
completed | April 29, 2026, 3:42 a.m. |
| PD | Predicate disambiguation | batch_69eed2d117088190acbfe130d84f8627 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:34 p.m.