Triple
T1257128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USA PATRIOT Improvement and Reauthorization Act of 2005 |
E12418
|
entity |
| Predicate | addsSafeguardsFor |
P20171
|
FINISHED |
| Object | civil liberties |
—
|
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: civil liberties | Statement: [USA PATRIOT Improvement and Reauthorization Act of 2005, addsSafeguardsFor, civil liberties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: addsSafeguardsFor Context triple: [USA PATRIOT Improvement and Reauthorization Act of 2005, addsSafeguardsFor, civil liberties]
-
A.
providesProtectionAgainst
chosen
Indicates that one entity serves to guard, shield, or defend another entity from a specified harm, threat, or adverse effect.
-
B.
protectsFeature
Indicates that one entity safeguards, preserves, or defends a particular feature or characteristic of another entity.
-
C.
protectedFor
Indicates that something is safeguarded or preserved specifically for the benefit, use, or rights of a particular entity or purpose.
-
D.
protects
Indicates taking action to keep someone or something safe from harm, danger, or negative effects.
-
E.
protectedBy
Indicates that one entity provides protection, defense, or safeguarding for another entity.
- 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bfa8cfa08190ac49c437a94a843c |
completed | March 1, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6c977c8190a2bf3e8b67a59beb |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:50 p.m.