Triple
T8871932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zamorano |
E211176
|
entity |
| Predicate | hasVariantForm |
P457
|
FINISHED |
| Object | de Zamora |
E655569
|
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: de Zamora | Statement: [Zamorano, hasVariantForm, de Zamora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de Zamora Context triple: [Zamorano, hasVariantForm, de Zamora]
-
A.
Zamorano
Zamorano is a Spanish-language surname most notably associated with Chilean former football star Iván Zamorano.
-
B.
Zamora
Zamora is a historic city in northwestern Spain known for its well-preserved Romanesque architecture and strategic location near the Portuguese border.
-
C.
Zamora
Zamora is a city in the Mexican state of Michoacán known for its agricultural production, colonial architecture, and religious landmarks such as the Cathedral of Our Lady of Guadalupe.
-
D.
Zamora, Spain
chosen
Zamora, Spain is a historic city in the Castile and León region known for its remarkably well-preserved Romanesque architecture and medieval city walls.
-
E.
Alcalá-Zamora
Alcalá-Zamora is the surname of Niceto Alcalá-Zamora, a prominent Spanish lawyer and politician who served as the first President of the Second Spanish Republic.
- 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_69ca838e78748190934d82db3104f855 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61281e888190a32b08980310979f |
completed | April 1, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa0f1f1888190a5b514b895e44799 |
completed | April 3, 2026, 11:13 a.m. |
Created at: March 30, 2026, 6:51 p.m.