Triple
T23129486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Praia da Enseada de Bertioga |
E577127
|
entity |
| Predicate | éPopularEm |
P92690
|
FINISHED |
| Object | alta temporada de verão |
—
|
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: alta temporada de verão | Statement: [Praia da Enseada de Bertioga, éPopularEm, alta temporada de verão]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: éPopularEm Context triple: [Praia da Enseada de Bertioga, éPopularEm, alta temporada de verão]
-
A.
popularFor
Indicates that something is widely liked, recognized, or favored specifically because of a particular feature, quality, or use.
-
B.
popularity
Indicates how widely liked, admired, or favored something or someone is by a group of people.
-
C.
cultPopularFrom
Indicates that something has gained or exhibits cult popularity originating from a particular source, context, or group.
-
D.
popularFrom
chosen
Indicates that something gains or holds popularity starting from a specific time, source, or context.
-
E.
isPopularAs
Indicates that an entity is widely liked, well-known, or favored in a particular role, context, or capacity.
- 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.