Triple
T21833922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cape São Roque |
E539069
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Maxaranguape |
—
|
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: Maxaranguape | Statement: [Cape São Roque, locatedNear, Maxaranguape]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maxaranguape Context triple: [Cape São Roque, locatedNear, Maxaranguape]
-
A.
Marabá
Marabá is a major industrial and commercial city in southeastern Pará, Brazil, known for its role in mining, steel production, and as a regional transportation hub.
-
B.
Parnaíba
Parnaíba is a coastal city in northeastern Brazil known for its proximity to the Parnaíba River Delta and its role as a regional economic and tourism hub.
-
C.
Sapucaia
Sapucaia is a municipality located in the mountainous Região Serrana of the state of Rio de Janeiro, Brazil.
-
D.
Barra de Mamanguape
chosen
Barra de Mamanguape is a coastal area in the state of Paraíba, Brazil, known for its estuary, mangrove ecosystems, and protected marine environments that include manatee habitats.
-
E.
Tamanduateí River
The Tamanduateí River is an important urban river in the São Paulo metropolitan region of Brazil, flowing through the city and joining the Tietê River.
- 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_69e0c475cda88190987d08f23caebdc1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0a7a5eeb88190b58b5b6d363cd6e3 |
completed | April 28, 2026, 12:27 p.m. |
Created at: April 16, 2026, 6:55 p.m.