Triple
T17434088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zorreguieta family |
E423953
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Zorreguieta |
—
|
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: Zorreguieta | Statement: [Zorreguieta family, hasSurname, Zorreguieta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zorreguieta Context triple: [Zorreguieta family, hasSurname, Zorreguieta]
-
A.
Zorreguieta
chosen
Zorreguieta is an Argentine family name best known as the maiden surname of Queen Máxima of the Netherlands.
-
B.
Zuloaga
Zuloaga is a Spanish surname most notably associated with Mexican conservative politician and general Félix Zuloaga, a key figure during Mexico’s Reform War in the 19th century.
-
C.
Zúñiga
Zúñiga is a Spanish noble surname historically associated with prominent aristocratic families and titles in Spain.
-
D.
Montúfar
Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
-
E.
Echeandía
Echeandía is a small town in central Ecuador known for its agricultural activities and rural Andean setting.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4490274608190a60ada9aeb246eff |
completed | April 19, 2026, 3:16 a.m. |
Created at: April 10, 2026, 5:46 a.m.