Triple
T33694001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marriott Vacation Club |
E863253
|
entity |
| Predicate | hasResortsIn |
P206628
|
FINISHED |
| Object | United States |
E14
|
NE 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: United States | Statement: [Marriott Vacation Club, hasResortsIn, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasResortsIn Context triple: [Marriott Vacation Club, hasResortsIn, United States]
-
A.
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).
-
B.
isResortDestinationFor
Indicates that a place serves as a resort destination specifically intended for or frequented by a particular person, group, or entity.
-
C.
hasResortHotel
Indicates that one entity owns, includes, or is associated with a resort hotel as part of its facilities or offerings.
-
D.
hasResortCenter
Indicates that an entity includes or is associated with a resort facility serving as a central location for leisure or vacation activities.
-
E.
isResortTown
Indicates that a town functions primarily as a resort destination, typically focused on tourism, leisure, and vacation activities.
- F. None of above. chosen
Provenance (5 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_69f3498723a08190ac034339cc78eade |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a366561dab88190b57e3e1f8bea4535 |
completed | June 20, 2026, 10:03 a.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037e07fe4481909ca21eae7a941ee7 |
completed | May 12, 2026, 7:22 p.m. |
Created at: May 1, 2026, 1:43 a.m.