Triple
T6511095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namibia and Botswana |
E150133
|
entity |
| Predicate | shareTourismAttractionType |
P33214
|
FINISHED |
| Object | desert landscapes |
—
|
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: desert landscapes | Statement: [Namibia and Botswana, shareTourismAttractionType, desert landscapes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shareTourismAttractionType Context triple: [Namibia and Botswana, shareTourismAttractionType, desert landscapes]
-
A.
tourismType
Indicates the specific category or kind of tourism activity or experience associated with an entity.
-
B.
tourismFeature
chosen
Indicates that something serves as an attraction, amenity, or point of interest relevant to tourism or visitors.
-
C.
attractionType
Indicates the specific kind or category of attraction that characterizes the relationship between entities.
-
D.
tourCategory
Indicates the classification or type of a tour (e.g., by theme, style, or purpose) that the tour belongs to.
-
E.
touristAttractionIn
Indicates that a place functions as a tourist attraction located within a specified geographic area or 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c69f3ad7d081909162f1a625fc52b1 |
completed | March 27, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69c68ab98c78819081743e614df04e1d |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:43 p.m.