Triple
T23129483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Praia da Enseada de Bertioga |
E577127
|
entity |
| Predicate | temOndas |
P39320
|
FINISHED |
| Object | ondas fracas |
—
|
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: ondas fracas | Statement: [Praia da Enseada de Bertioga, temOndas, ondas fracas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: temOndas Context triple: [Praia da Enseada de Bertioga, temOndas, ondas fracas]
-
A.
waveType
chosen
Indicates the specific kind or category of wave associated with an entity or interaction (e.g., type of signal, motion, or oscillation).
-
B.
waveCondition
Indicates that a specified action, state, or relationship holds only under certain wave-related conditions or patterns.
-
C.
numberOfWaves
Indicates the count of distinct wave events or oscillations associated with a given entity or interaction.
-
D.
waveColor
Indicates the color associated with a particular wave (e.g., light or electromagnetic wave) in the described context.
-
E.
tinctureWaves
Indicates that one entity imparts a coloring or tinting effect onto another in a manner likened to spreading or rippling waves.
- 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_69e245f7b0e481909c473ff4e6a54e2c |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e8671f48190887e57d5723e49c1 |
completed | April 29, 2026, 4:52 a.m. |
| PD | Predicate disambiguation | batch_69ef89f83b108190aaaa1db6221fc163 |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 4 p.m.