Triple
T4565217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honu ika Moana |
E121891
|
entity |
| Predicate | waterParkType |
P57712
|
FINISHED |
| Object | tropical-themed water park attraction |
—
|
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: tropical-themed water park attraction | Statement: [Honu ika Moana, waterParkType, tropical-themed water park attraction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterParkType Context triple: [Honu ika Moana, waterParkType, tropical-themed water park attraction]
-
A.
hasWaterRide
Indicates that an entity features or includes at least one water-based ride or attraction.
-
B.
hasWaterPark
Indicates that one entity possesses, includes, or features a water park as part of its facilities or attributes.
-
C.
partOfAttractionType
Indicates that one attraction type is a component or subset of a broader, more general attraction type.
-
D.
numberOfWaterRides
Indicates the quantity of water-based rides associated with a given entity.
-
E.
themeParkComplex
Indicates a relationship where one entity is a theme park complex that encompasses or is composed of the other entity or entities.
- F. None of above. chosen
Provenance (4 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_69bd463f156881908a99aca69c5721ac |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd589cde9081909b84186d700fc463 |
completed | March 20, 2026, 2:24 p.m. |
| PD | Predicate disambiguation | batch_69bd52254c648190a5144cfe8fa7e409 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56f6e75481909c487a94a2c2d0ba |
completed | March 20, 2026, 2:17 p.m. |
Created at: March 20, 2026, 1:09 p.m.