Triple
T35541694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalia Tower |
E1027077
|
entity |
| Predicate | isPartOfResortDestination |
P60302
|
FINISHED |
| Object | Waikiki resort area |
—
|
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: Waikiki resort area | Statement: [Kalia Tower, isPartOfResortDestination, Waikiki resort area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfResortDestination Context triple: [Kalia Tower, isPartOfResortDestination, Waikiki resort area]
-
A.
isResortDestinationFor
Indicates that a place serves as a resort destination specifically intended for or frequented by a particular person, group, or entity.
-
B.
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).
-
C.
partOfResortComplexWith
chosen
Indicates that one entity is a component or facility within the same resort complex as the other entity, forming part of a shared resort property.
-
D.
isPartOfHolidayDestination
Indicates that one entity is a component, feature, or sub-location within a broader holiday destination.
-
E.
isResortTown
Indicates that a town functions primarily as a resort destination, typically focused on tourism, leisure, and vacation activities.
- 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_69f76e008ba08190927acd8e5e0344c8 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ffa15d53208190ab8574d6c7913e18 |
completed | May 9, 2026, 9:04 p.m. |
| PD | Predicate disambiguation | batch_69ff9eee681c81909434e79c627cb528 |
completed | May 9, 2026, 8:54 p.m. |
Created at: May 3, 2026, 4:04 p.m.