Triple
T933543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portuguese Third Republic |
E20145
|
entity |
| Predicate | guaranteesFreedomOfExpression |
P13930
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Portuguese Third Republic, guaranteesFreedomOfExpression, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: guaranteesFreedomOfExpression Context triple: [Portuguese Third Republic, guaranteesFreedomOfExpression, true]
-
A.
mediaFreedom
Indicates the degree to which media outlets can operate, report, and express information without censorship, interference, or undue restriction.
-
B.
repressedDissent
Indicates that one party has actively suppressed or stifled opposition, criticism, or disagreement from another party or group.
-
C.
positionOnFreedom
Indicates a stance or viewpoint an entity holds regarding the concept, extent, or conditions of freedom.
-
D.
protectsRight
chosen
Indicates that one entity safeguards, upholds, or defends the legal or moral rights of another entity.
-
E.
legalProtectionOfLanguage
Indicates that a language is safeguarded or regulated by formal legal measures, such as laws, policies, or constitutional provisions.
- 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_69a493af3dc48190adb7263e6e445ea1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3bcad2481908b83575b2fb80d14 |
completed | March 1, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69a4b299c4d881908a57ac2711676cd7 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.