Triple
T36745472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Wolf Lodge (Mason, Ohio) |
E907747
|
entity |
| Predicate | indoorWaterParkHeated |
P186260
|
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), indoorWaterParkHeated, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: indoorWaterParkHeated Context triple: [Great Wolf Lodge (Mason, Ohio), indoorWaterParkHeated, yes]
-
A.
indoorPark
Indicates that an activity or event takes place in an indoor park or indoor recreational facility.
-
B.
waterParkType
Indicates the specific type or category of a water park associated with an entity.
-
C.
hasWaterRide
Indicates that an entity features or includes at least one water-based ride or attraction.
-
D.
hasWaterCoaster
Indicates that an entity features or includes a water-based roller coaster attraction.
-
E.
hasWaterPark
Indicates that one entity possesses, includes, or features a water park as part of its facilities or attributes.
- 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_69f76e76d10881909ec1679bc043108c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7cabacc1481909e839454ce1057f7 |
completed | May 3, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f7c8999a348190abc1895eaa6e036d |
completed | May 3, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69f7c9f4c7c48190ba918d8d5dc8dfd9 |
completed | May 3, 2026, 10:19 p.m. |
Created at: May 3, 2026, 4:12 p.m.