Triple
T34775875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wings and Waves Waterpark |
E1002503
|
entity |
| Predicate | indoorSlidesCountApprox |
P107193
|
FINISHED |
| Object | multiple slides |
—
|
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: multiple slides | Statement: [Wings and Waves Waterpark, indoorSlidesCountApprox, multiple slides]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: indoorSlidesCountApprox Context triple: [Wings and Waves Waterpark, indoorSlidesCountApprox, multiple slides]
-
A.
hasIndoorType
Indicates that an entity is associated with a specific type or category of indoor environment or indoor feature.
-
B.
numberOfSlides
chosen
Indicates the total count of slides associated with or contained within a given entity or presentation.
-
C.
indoorAdvantage
Indicates that an entity has a beneficial edge or improved performance when conditions or activities occur indoors rather than outdoors.
-
D.
indoorSectionName
Indicates the specific named section or area within an indoor space to which an entity is related.
-
E.
indoorTitle
Indicates that an entity holds a title, role, or designation specifically applicable within an indoor context or indoor environment.
- 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_69f76db30a108190bb57ca95b873e5bb |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.