Triple
T28087432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercedes Group of Islands |
E709863
|
entity |
| Predicate | regionTourismBranding |
P43641
|
FINISHED |
| Object | Mercedes Island Hopping |
—
|
NE NERFINISHED |
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: Mercedes Island Hopping | Statement: [Mercedes Group of Islands, regionTourismBranding, Mercedes Island Hopping]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionTourismBranding Context triple: [Mercedes Group of Islands, regionTourismBranding, Mercedes Island Hopping]
-
A.
hasTourismRegionBrand
chosen
Indicates that an entity is associated with or belongs to a specific tourism region brand used for destination marketing or regional tourism identity.
-
B.
tourismRegion
Indicates that a place or area is designated or recognized as a tourism region associated with another geographic or administrative entity.
-
C.
tourismSlogan
Indicates that a phrase is used as a promotional slogan to attract tourists to a place or destination.
-
D.
regionOfTour
Indicates that a specified geographic or administrative region is the location or scope within which a particular tour takes place.
-
E.
countryTourismCategory
Indicates the tourism classification or category assigned to a country based on its tourism characteristics or status.
- 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_69ef9b7037f0819095bb90eaccbcaf32 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
Created at: April 27, 2026, 8:56 p.m.