Triple
T22702327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Igreja de São Roque |
E561355
|
entity |
| Predicate | dedicatedTo |
P500
|
FINISHED |
| Object | São Roque |
—
|
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 Roque | Statement: [Igreja de São Roque, dedicatedTo, São Roque]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: São Roque Context triple: [Igreja de São Roque, dedicatedTo, São Roque]
-
A.
São Roque
São Roque is a municipality in the state of São Paulo, Brazil, known for its wine production and scenic mountainous landscapes.
-
B.
São Roque
chosen
São Roque (Saint Roch) is a Catholic saint venerated as a protector against plagues and contagious diseases, often invoked for healing and safeguarding communities from epidemics.
-
C.
Santo Amaro
Santo Amaro is a central neighborhood in Recife, Brazil, known for its mix of residential areas, commerce, and important urban infrastructure.
-
D.
Barretos
Barretos is a municipality in the Brazilian state of São Paulo, widely known for hosting one of the largest annual rodeo festivals in Latin America.
-
E.
Bauru
Bauru is a city in the state of São Paulo, Brazil, known as a regional economic and educational hub that hosts a campus of the University of São Paulo.
- 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_69e2454e615481909c177440be559d2c |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178cbf5788190bc8cd1bc71a861e5 |
completed | April 29, 2026, 3:19 a.m. |
Created at: April 17, 2026, 3:16 p.m.