Triple
T21667745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | São Francisco Square |
E534765
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | São Cristóvão |
—
|
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: São Cristóvão | Statement: [São Francisco Square, locatedIn, São Cristóvão]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: São Cristóvão Context triple: [São Francisco Square, locatedIn, São Cristóvão]
-
A.
São Cristóvão
chosen
São Cristóvão is one of Brazil’s oldest colonial cities, known for its well-preserved historic center and UNESCO-listed São Francisco Square.
-
B.
São Cristóvão
São Cristóvão was one of the ships in the Portuguese fleet commanded by Bartolomeu Dias during his pioneering voyage around the Cape of Good Hope in the late 15th century.
-
C.
Boa Vista
Boa Vista is one of Cape Verde’s easternmost islands, known for its extensive sandy beaches, desert-like landscapes, and tourism-focused resorts.
-
D.
Boa Vista
Boa Vista is the largest city and main political and economic center of the Brazilian state of Roraima, located in the northern Amazon region near the border with Venezuela and Guyana.
-
E.
Boa Vista
Boa Vista is a central neighborhood in Recife, Brazil, known for its historic architecture, commercial activity, and cultural significance.
- 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_69e0c46898008190aa618a4af55bd1ee |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef6c0cf6208190a8bd9fa423c65a40 |
completed | April 27, 2026, 2 p.m. |
Created at: April 16, 2026, 6:37 p.m.