Triple
T14906292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Itanhaém |
E360138
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Mongaguá |
E1005177
|
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: Mongaguá | Statement: [Itanhaém, borderedBy, Mongaguá]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mongaguá Context triple: [Itanhaém, borderedBy, Mongaguá]
-
A.
Mongaguá
chosen
Mongaguá is a coastal municipality in the state of São Paulo, Brazil, known for its beaches and tourism along the Atlantic Ocean.
-
B.
Canindé
Canindé is a municipality in the Brazilian state of Ceará known for its major religious pilgrimages honoring Saint Francis of Assisi.
-
C.
Yaguará
Yaguará is a municipality and town in the Huila Department of southwestern Colombia, known for its proximity to the Betania Reservoir and its agricultural activities.
-
D.
Río Casiguaguas
Río Casiguaguas is a river in Havana, Cuba, better known today as the Almendares River, which flows through the city and plays a key role in its history and water supply.
-
E.
Quissamã
Quissamã is a municipality in the state of Rio de Janeiro, Brazil, known for its coastal landscapes, historical sugarcane plantations, and proximity to the Campos Basin oil region.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded60cd5588190b1efecc2b220da69 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bcf32a48190b1f036016f2689b7 |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:12 a.m.