Triple
T20585143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esteban |
E505765
|
entity |
| Predicate | equivalentNameInPortuguese |
P28329
|
FINISHED |
| Object | Estevão |
—
|
NE NERFINISHED |
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: Estevão | Statement: [Esteban, equivalentNameInPortuguese, Estevão]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Estevão Context triple: [Esteban, equivalentNameInPortuguese, Estevão]
-
A.
Estevão
chosen
Estevão is the Portuguese given name equivalent to the Hungarian name István, commonly rendered in English as Stephen.
-
B.
Santo Estêvão
Santo Estêvão is a locality in Portugal that forms part of the civil parish of São Bento do Cortiço e Santo Estêvão.
-
C.
São Lucas
São Lucas is a metro station on São Paulo’s Line 15–Silver monorail system in Brazil.
-
D.
Sebastião
Sebastião is the Portuguese variant of the given name Sebastian, commonly used in Portuguese-speaking countries.
-
E.
Damião
Damião is a Portuguese given name, equivalent to Damian, commonly used in Lusophone countries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0b4b9669c8190b8e81fc72817d42c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a975f098819083700593a9fa6cd0 |
completed | April 20, 2026, 10:32 p.m. |
Created at: April 16, 2026, 11:40 a.m.