Triple
T18005757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Próspero Fernández Oreamuno |
E430741
|
entity |
| Predicate | succeededBy |
P78
|
FINISHED |
| Object | Bernardo Soto Alfaro |
—
|
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: Bernardo Soto Alfaro | Statement: [Próspero Fernández Oreamuno, succeededBy, Bernardo Soto Alfaro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bernardo Soto Alfaro Context triple: [Próspero Fernández Oreamuno, succeededBy, Bernardo Soto Alfaro]
-
A.
Bernardo Márquez García
Bernardo Márquez García is a Puerto Rican politician who serves as the mayor of the municipality of Toa Baja.
-
B.
Fernando Argüelles
Fernando Argüelles is a cinematographer known for his work on films such as "Doppelganger."
-
C.
Bernardo Soto
chosen
Bernardo Soto was a notable Costa Rican figure, likely a political leader or public servant, after whom the Bernardo Soto Highway is named.
-
D.
Bernardo Flores Sisk
Bernardo Flores Sisk was a U.S. Congressman from California who played a key role in Central Valley water projects and for whom the San Luis Dam was named.
-
E.
Luis Salmerón
Luis Salmerón is a former Argentine professional footballer known for his role as a forward with several clubs in South America.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b51ba1888190a339d726e92f376b |
completed | April 19, 2026, 10:57 a.m. |
Created at: April 10, 2026, 10:24 a.m.