Triple
T21420772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Library of Brazil |
E528430
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Brazilian National System of Libraries |
—
|
NE NERFINISHED |
How this triple was built (3 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: Brazilian National System of Libraries | Statement: [National Library of Brazil, partOf, Brazilian National System of Libraries]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brazilian National System of Libraries Context triple: [National Library of Brazil, partOf, Brazilian National System of Libraries]
-
A.
National Library of Brazil
The National Library of Brazil is the country’s largest and most important library, serving as its main repository of bibliographic and documentary heritage and one of the largest libraries in the world.
-
B.
Academia Brasileira de Letras
The Academia Brasileira de Letras is Brazil’s foremost literary and linguistic institution, renowned for promoting national literature and serving as the official guardian of the Portuguese language in Brazil.
-
C.
Brazilian Academy of Sciences
The Brazilian Academy of Sciences is Brazil’s foremost scientific society, bringing together leading researchers across disciplines to promote scientific advancement and advise on national science policy.
-
D.
Rio Branco Institute
The Rio Branco Institute is Brazil’s diplomatic academy responsible for training and preparing candidates for the country’s professional foreign service.
-
E.
National Library of Portugal
The National Library of Portugal is the country’s main legal deposit and research library, responsible for preserving and providing access to Portugal’s bibliographic heritage.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brazilian National System of Libraries Target entity description: The Brazilian National System of Libraries is a nationwide network that coordinates and supports public libraries across Brazil to promote access to information, reading, and cultural development.
-
A.
National Library of Brazil
The National Library of Brazil is the country’s largest and most important library, serving as its main repository of bibliographic and documentary heritage and one of the largest libraries in the world.
-
B.
Academia Brasileira de Letras
The Academia Brasileira de Letras is Brazil’s foremost literary and linguistic institution, renowned for promoting national literature and serving as the official guardian of the Portuguese language in Brazil.
-
C.
Brazilian Academy of Sciences
The Brazilian Academy of Sciences is Brazil’s foremost scientific society, bringing together leading researchers across disciplines to promote scientific advancement and advise on national science policy.
-
D.
Rio Branco Institute
The Rio Branco Institute is Brazil’s diplomatic academy responsible for training and preparing candidates for the country’s professional foreign service.
-
E.
National Library of Portugal
The National Library of Portugal is the country’s main legal deposit and research library, responsible for preserving and providing access to Portugal’s bibliographic heritage.
- F. None of above. chosen
Provenance (2 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee62d392e08190b7f378005afc9026 |
completed | April 26, 2026, 7:09 p.m. |
Created at: April 16, 2026, 5:48 p.m.