Triple
T20730924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brazil–Portugal relations |
E509568
|
entity |
| Predicate | languagePolicyCooperation |
P107282
|
FINISHED |
| Object | promotion of Portuguese language |
—
|
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: promotion of Portuguese language | Statement: [Brazil–Portugal relations, languagePolicyCooperation, promotion of Portuguese language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languagePolicyCooperation Context triple: [Brazil–Portugal relations, languagePolicyCooperation, promotion of Portuguese language]
-
A.
shareLanguagePolicyCooperation
chosen
Indicates that two or more entities cooperate or coordinate with each other specifically on matters related to language policy.
-
B.
languagePolicyAspect
Indicates an aspect or component of a broader language policy, such as its goals, rules, or implementation measures.
-
C.
languagePolicyType
Indicates the specific category or type of language policy that governs how languages are used, managed, or regulated in a given context.
-
D.
languagePolicyPosition
Indicates a stance or viewpoint an entity holds regarding rules, regulations, or practices governing language use.
-
E.
languagePolicyIssue
Indicates that there is a problem, conflict, or concern related to rules or practices governing language use.
- 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_69e0b4c589c08190834fb5d86d0efa2b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1ed7e8c8190974f2eb31a0a3106 |
completed | April 21, 2026, 12:16 a.m. |
| PD | Predicate disambiguation | batch_69e5c04b31248190b9b9d91b5cb854e3 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:30 p.m.