Triple
T15490947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | São Bento do Cortiço e Santo Estêvão |
E378681
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object | Santo Estêvão |
E1160858
|
NE 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: Santo Estêvão | Statement: [São Bento do Cortiço e Santo Estêvão, formedByMergerOf, Santo Estêvão]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santo Estêvão Context triple: [São Bento do Cortiço e Santo Estêvão, formedByMergerOf, Santo Estêvão]
-
A.
Santo Estêvão
chosen
Santo Estêvão is a locality in Portugal that forms part of the civil parish of São Bento do Cortiço e Santo Estêvão.
-
B.
Estevão
Estevão is the Portuguese given name equivalent to the Hungarian name István, commonly rendered in English as Stephen.
-
C.
São Teotónio
São Teotónio is a civil parish in the municipality of Odemira, Portugal, known for its rural character and proximity to the southwestern Atlantic coast.
-
D.
São Lucas
São Lucas is a metro station on São Paulo’s Line 15–Silver monorail system in Brazil.
-
E.
São Pantaleão
São Pantaleão was one of the caravels in Bartolomeu Dias’s fleet during his pioneering voyage around the Cape of Good Hope in the late 15th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fac2af88190ac1d119e6b21dbe0 |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d48f17c819088c4d8c2d2b368c8 |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 3:48 a.m.