Triple
T24963388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Praia de Maceió |
E624670
|
entity |
| Predicate | atividadesComuns |
P7254
|
FINISHED |
| Object | banho de mar |
—
|
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 | Statement: [Praia de Maceió, atividadesComuns, banho de mar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: atividadesComuns Context triple: [Praia de Maceió, atividadesComuns, banho de mar]
-
A.
commonFor
Indicates that something is typical, usual, or frequently occurring for a given entity or context.
-
B.
commonIn
chosen
Indicates that something frequently occurs, appears, or is found within a specified context, group, or environment.
-
C.
commonAction
Indicates that multiple entities participate in or perform the same action or activity.
-
D.
commonOn
Indicates that two or more entities share the same location, context, or medium where they are present or occur together.
-
E.
commonApplication
Indicates that multiple entities share or participate in the same application, process, or usage 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_69e2ff23a3a88190b1b9743fe5e15f94 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f4242f0968819098c3f0f92054d22f |
completed | May 1, 2026, 3:55 a.m. |
| PD | Predicate disambiguation | batch_69f4210130d08190ae30b7943f7a0bbc |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:59 a.m.