Triple
T36745455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Wolf Lodge (Mason, Ohio) |
E907747
|
entity |
| Predicate | hasIndoorWaterPark |
P4284
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Great Wolf Lodge (Mason, Ohio), hasIndoorWaterPark, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIndoorWaterPark Context triple: [Great Wolf Lodge (Mason, Ohio), hasIndoorWaterPark, yes]
-
A.
hasWaterPark
chosen
Indicates that one entity possesses, includes, or features a water park as part of its facilities or attributes.
-
B.
hasWaterParkName
Indicates that a water park is associated with a specific name or title.
-
C.
hasWaterRide
Indicates that an entity features or includes at least one water-based ride or attraction.
-
D.
indoorWaterParkHeated
Indicates that the indoor water park’s water and/or air is maintained at an elevated, comfortable temperature through heating.
-
E.
hasWaterCoaster
Indicates that an entity features or includes a water-based roller coaster attraction.
- 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_69f76e76d10881909ec1679bc043108c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a00bf5990e08190a8b633e237656564 |
completed | May 10, 2026, 5:24 p.m. |
| PD | Predicate disambiguation | batch_6a00beef4f5881909b00ac89e6af5902 |
completed | May 10, 2026, 5:22 p.m. |
Created at: May 3, 2026, 4:12 p.m.