Triple
T6603210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pipa Beach |
E149051
|
entity |
| Predicate | regionTourismImportance |
P7889
|
FINISHED |
| Object | one of the most famous beaches in Rio Grande do Norte |
—
|
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: one of the most famous beaches in Rio Grande do Norte | Statement: [Pipa Beach, regionTourismImportance, one of the most famous beaches in Rio Grande do Norte]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionTourismImportance Context triple: [Pipa Beach, regionTourismImportance, one of the most famous beaches in Rio Grande do Norte]
-
A.
tourismImportance
chosen
Indicates the degree to which a place or entity is significant or valuable as a destination or attraction for tourists.
-
B.
tourismRegion
Indicates that a place or area is designated or recognized as a tourism region associated with another geographic or administrative entity.
-
C.
primaryTourismHub
Indicates that a location serves as the main center or focal point for tourism activities within a given area or region.
-
D.
tourismFeature
Indicates that something serves as an attraction, amenity, or point of interest relevant to tourism or visitors.
-
E.
hasTourismImpactOn
Indicates that one entity affects or influences the tourism levels, patterns, or attractiveness of another entity.
- 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_69c687eaa7508190bb58ce2aa02039b3 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6acfd17388190bd0bb8b2371e7df1 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:56 p.m.