Triple
T22871485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Praia de Gaibu |
E567206
|
entity |
| Predicate | recomendaCuidadoCom |
P97924
|
FINISHED |
| Object | banho de mar em áreas de ondas fortes |
—
|
LITERAL 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: banho de mar em áreas de ondas fortes | Statement: [Praia de Gaibu, recomendaCuidadoCom, banho de mar em áreas de ondas fortes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recomendaCuidadoCom Context triple: [Praia de Gaibu, recomendaCuidadoCom, banho de mar em áreas de ondas fortes]
-
A.
requiresCautionIn
Indicates that engaging with or operating within the referenced context, situation, or environment demands heightened care, attention, or precaution.
-
B.
safetyAdvice
chosen
Indicates that one entity provides guidance or recommendations to another entity about how to avoid danger or reduce risk in a particular context.
-
C.
notRecommendedBy
Indicates that one entity explicitly advises against or does not endorse another entity.
-
D.
notableSafety
Indicates that an entity is recognized for having significant safety characteristics, performance, or impact relative to others.
-
E.
recommendsUseOf
Indicates that one entity advises, endorses, or suggests the use of another entity as appropriate or beneficial in a given context.
- F. None of above.
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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f05c688819097ba3d24ea8e52f5 |
completed | April 29, 2026, 3:46 a.m. |
| PD | Predicate disambiguation | batch_69eed2d8c0608190afef4c4e530c0e2c |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 17, 2026, 3:38 p.m.