Triple
T108103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USA PATRIOT Act |
E2181
|
entity |
| Predicate | affectsRights |
P4517
|
FINISHED |
| Object | privacy rights |
—
|
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: privacy rights | Statement: [USA PATRIOT Act, affectsRights, privacy rights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: affectsRights Context triple: [USA PATRIOT Act, affectsRights, privacy rights]
-
A.
concernsRight
chosen
Indicates that something is about or relates specifically to a legal or moral right held by an entity.
-
B.
affectedAgency
Indicates that one entity has an effect on, or causes a change in, the agency or capacity for action of another entity.
-
C.
allows
Indicates that one entity grants permission, capability, or opportunity for another entity to perform an action or be in a certain state.
-
D.
affirms
Indicates that one entity explicitly confirms, supports, or asserts the truth or validity of another entity, statement, or proposition.
-
E.
affectsOffice
Indicates that one entity has an influence or impact on the condition, function, or status of an office.
- 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_69a24fcdaeb48190a2d796677e4b3281 |
completed | Feb. 28, 2026, 2:15 a.m. |
| NER | Named-entity recognition | batch_69a25a1199ac8190ac65ffaaf45b4f5b |
completed | Feb. 28, 2026, 2:59 a.m. |
| PD | Predicate disambiguation | batch_69a2563e7188819091e9a94e071991d7 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:20 a.m.