Triple
T7790957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maio |
E180176
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Pedro Vaz |
E390405
|
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: Pedro Vaz | Statement: [Maio, hasSettlement, Pedro Vaz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pedro Vaz Context triple: [Maio, hasSettlement, Pedro Vaz]
-
A.
Pedro Vaz
chosen
Pedro Vaz is a small village located on the island of Maio in Cape Verde.
-
B.
Afonso de Paiva
Afonso de Paiva was a 15th-century Portuguese explorer and diplomat known for his overland expedition to Ethiopia and the Red Sea region in search of Prester John and new trade routes.
-
C.
Pedro de Castro
Pedro de Castro was a Spanish architect known for designing prominent public buildings in Puerto Rico, including the island’s Capitol.
-
D.
Henrique Lopes de Mendonça
Henrique Lopes de Mendonça was a Portuguese playwright, poet, and naval officer best known for writing the lyrics to Portugal’s national anthem, “A Portuguesa.”
-
E.
Matias de Albuquerque
Matias de Albuquerque was a Portuguese colonial military leader best known for organizing and leading the defense of northeastern Brazil against Dutch invasions in the early 17th 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_69ca827d22208190b4dc5aa680edcf5d |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cae9375dcc8190a6cb696c02aeceb7 |
completed | March 30, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb13b38e708190a688ce4effbf7c48 |
completed | March 31, 2026, 12:22 a.m. |
Created at: March 30, 2026, 4:30 p.m.