Triple
T14352707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mustique Airport |
E355893
|
entity |
| Predicate | servesResortDestination |
P84905
|
FINISHED |
| Object | Mustique Island resorts |
—
|
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: Mustique Island resorts | Statement: [Mustique Airport, servesResortDestination, Mustique Island resorts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesResortDestination Context triple: [Mustique Airport, servesResortDestination, Mustique Island resorts]
-
A.
servesResortArea
chosen
Indicates that one entity provides services or operational support to a resort area.
-
B.
isResortDestinationFor
Indicates that a place serves as a resort destination specifically intended for or frequented by a particular person, group, or entity.
-
C.
isResortOf
Indicates that a location or facility functions as a resort associated with, belonging to, or serving a particular entity (such as a city, region, or organization).
-
D.
servesAttraction
Indicates that one entity functions as or provides a service that supports or enhances the experience of a particular attraction.
-
E.
servesCruisePort
Indicates that one entity (typically a transportation service or route) provides service to or operates at a particular cruise port.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f4ff1e48190bd9419d70098cede |
completed | April 14, 2026, 7:02 p.m. |
| PD | Predicate disambiguation | batch_69de2a9958e881909d03ac03f135163e |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:14 a.m.