Triple
T16302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States government |
E324
|
entity |
| Predicate | guaranteesRight |
P168
|
FINISHED |
| Object | freedom of speech |
—
|
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: freedom of speech | Statement: [United States government, guaranteesRight, freedom of speech]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: guaranteesRight Context triple: [United States government, guaranteesRight, freedom of speech]
-
A.
legalBasis
Indicates the legal rule, authority, or justification under which an action, decision, or status is established or carried out.
-
B.
grantedTo
chosen
Indicates that a right, permission, or resource has been formally given or assigned by one party to another.
-
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.
prohibits
Indicates that one entity forbids or disallows another entity from performing a specific action or being in a certain state.
-
E.
license
Indicates that one entity has granted another entity formal permission or authorization to use, perform, or exploit something under specified terms.
- 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_69a23d7ad88c8190bffe8ab091d86642 |
completed | Feb. 28, 2026, 12:57 a.m. |
| NER | Named-entity recognition | batch_69a241ea1ea081908e8a81ca97531ba5 |
completed | Feb. 28, 2026, 1:16 a.m. |
| PD | Predicate disambiguation | batch_69a23fec1fe8819080da6f2c745dc8fd |
completed | Feb. 28, 2026, 1:07 a.m. |
Created at: Feb. 28, 2026, 1:02 a.m.