Triple
T22148440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cayo Paredón Grande |
E547349
|
entity |
| Predicate | tourismZone |
P3030
|
FINISHED |
| Object | north coast tourism belt of Cuba |
—
|
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: north coast tourism belt of Cuba | Statement: [Cayo Paredón Grande, tourismZone, north coast tourism belt of Cuba]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tourismZone Context triple: [Cayo Paredón Grande, tourismZone, north coast tourism belt of Cuba]
-
A.
tourismRegion
chosen
Indicates that a place or area is designated or recognized as a tourism region associated with another geographic or administrative entity.
-
B.
tourArea
Indicates that an entity conducts, offers, or is associated with tours within a specified geographic area or region.
-
C.
regionOfTour
Indicates that a specified geographic or administrative region is the location or scope within which a particular tour takes place.
-
D.
tourismFeature
Indicates that something serves as an attraction, amenity, or point of interest relevant to tourism or visitors.
-
E.
tourismTheme
Indicates the main subject or focus of a tourism-related activity, service, or destination (such as cultural, adventure, or eco-tourism).
- 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_69e11e3b52088190ad5df386d01eb2fb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129f209688190afea1f275c922c73 |
completed | April 28, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69e71b384e008190b723c9a0f1089d66 |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:33 p.m.