Triple
T4565198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honu ika Moana |
E121891
|
entity |
| Predicate | waterRideType |
P8077
|
FINISHED |
| Object | multi-person water slide |
—
|
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: multi-person water slide | Statement: [Honu ika Moana, waterRideType, multi-person water slide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterRideType Context triple: [Honu ika Moana, waterRideType, multi-person water slide]
-
A.
hasWaterRide
Indicates that an entity features or includes at least one water-based ride or attraction.
-
B.
numberOfWaterRides
Indicates the quantity of water-based rides associated with a given entity.
-
C.
partOfAttractionType
Indicates that one attraction type is a component or subset of a broader, more general attraction type.
-
D.
hasBoatRides
Indicates that one entity offers, provides, or features boat rides in relation to another entity.
-
E.
attractionType
chosen
Indicates the specific kind or category of attraction that characterizes the relationship between entities.
- 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_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. |
Created at: March 20, 2026, 1:09 p.m.