Triple
T6711560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aracati |
E153155
|
entity |
| Predicate | hasNearby |
P350
|
FINISHED |
| Object | Canoa Quebrada |
E214385
|
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: Canoa Quebrada | Statement: [Aracati, hasNearby, Canoa Quebrada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Canoa Quebrada Context triple: [Aracati, hasNearby, Canoa Quebrada]
-
A.
Canoa Quebrada
chosen
Canoa Quebrada is a famous Brazilian beach village known for its dramatic red cliffs, dunes, and vibrant nightlife on the coast of Ceará.
-
B.
Dique do Tororó
Dique do Tororó is a historic urban lake and recreational area in Salvador, Bahia, known for its scenic views and large sculptures of Afro-Brazilian orixás.
-
C.
Puerto Pilcomayo
Puerto Pilcomayo is a small river port settlement in northern Argentina located on the banks of the Paraguay River, serving as a local hub for cross-border trade and transport.
-
D.
Canindé
Canindé is a municipality in the Brazilian state of Ceará known for its major religious pilgrimages honoring Saint Francis of Assisi.
-
E.
Reritiba
Reritiba is a historic locality in Brazil, known as the place where the Jesuit missionary and saint José de Anchieta died.
- 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_69c68808d8d8819087369015270788fe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d108acc08190b38b43161d8912b9 |
completed | March 27, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c700924fdc8190990187fbc1b3ab20 |
completed | March 27, 2026, 10:11 p.m. |
Created at: March 27, 2026, 2:06 p.m.