Triple
T28141057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Act No. 44 of 1950 |
E714341
|
entity |
| Predicate | impactOnRights |
P133651
|
FINISHED |
| Object | curtailment of political freedoms |
—
|
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: curtailment of political freedoms | Statement: [Act No. 44 of 1950, impactOnRights, curtailment of political freedoms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOnRights Context triple: [Act No. 44 of 1950, impactOnRights, curtailment of political freedoms]
-
A.
freedomImpacted
Indicates that one entity’s freedom or autonomy is constrained, limited, or negatively affected by another factor or entity.
-
B.
humanRightsConcern
Indicates a situation, action, or condition that raises issues related to the recognition, protection, or violation of human rights.
-
C.
impactOnLaw
Indicates the effect or influence that one entity, event, or action has on laws, legal rules, or the legal system.
-
D.
rightsImplicated
chosen
Indicates that certain rights are affected, challenged, or brought into question as a consequence of the related action or relationship.
-
E.
impactOnHumans
Indicates a relationship where something produces an effect, influence, or consequence on humans.
- 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_69efd6af156c81908f50c2cd7db0e1ef |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 27, 2026, 9:53 p.m.