Triple
T23498259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Melo |
E571761
|
entity |
| Predicate | nobleTitleAssociated |
P914
|
FINISHED |
| Object | Count of São Lourenço |
—
|
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: Count of São Lourenço | Statement: [House of Melo, nobleTitleAssociated, Count of São Lourenço]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Count of São Lourenço Context triple: [House of Melo, nobleTitleAssociated, Count of São Lourenço]
-
A.
São Lourenço
São Lourenço is a Brazilian mineral water brand known for its naturally carbonated spring water sourced from the São Lourenço region in Minas Gerais.
-
B.
São Lourenço do Bairro
São Lourenço do Bairro is a civil parish in the municipality of Anadia, located in Portugal’s Aveiro District and known for its rural character and wine-producing landscape.
-
C.
São Lourenço dos Órgãos
São Lourenço dos Órgãos is a municipality on the island of Santiago in Cape Verde, known for its mountainous landscapes and agricultural activity.
-
D.
São Lourenço da Mata
São Lourenço da Mata is a municipality in the Recife metropolitan region of Pernambuco, Brazil, known for its role in the 2014 FIFA World Cup infrastructure and its mix of urban and forested areas.
-
E.
São Francisco do Conde
São Francisco do Conde is a coastal municipality in the state of Bahia, Brazil, known for its historical ties to the sugarcane industry and its location within the metropolitan area of Salvador.
- 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: Count of São Lourenço Target entity description: The Count of São Lourenço is a Portuguese noble title historically held by members of the influential House of Melo.
-
A.
São Lourenço
São Lourenço is a Brazilian mineral water brand known for its naturally carbonated spring water sourced from the São Lourenço region in Minas Gerais.
-
B.
São Lourenço do Bairro
São Lourenço do Bairro is a civil parish in the municipality of Anadia, located in Portugal’s Aveiro District and known for its rural character and wine-producing landscape.
-
C.
São Lourenço dos Órgãos
São Lourenço dos Órgãos is a municipality on the island of Santiago in Cape Verde, known for its mountainous landscapes and agricultural activity.
-
D.
São Lourenço da Mata
São Lourenço da Mata is a municipality in the Recife metropolitan region of Pernambuco, Brazil, known for its role in the 2014 FIFA World Cup infrastructure and its mix of urban and forested areas.
-
E.
São Francisco do Conde
São Francisco do Conde is a coastal municipality in the state of Bahia, Brazil, known for its historical ties to the sugarcane industry and its location within the metropolitan area of Salvador.
- 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_69e245b4829881909b77a70e942bbd54 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a7e184ec8190aff3677c9b00a8f2 |
completed | April 29, 2026, 6:40 a.m. |
Created at: April 17, 2026, 6:06 p.m.