Triple
T17147258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slush Gusher |
E416121
|
entity |
| Predicate | locatedInThemeParkType |
P126293
|
FINISHED |
| Object | water park |
—
|
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: water park | Statement: [Slush Gusher, locatedInThemeParkType, water park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInThemeParkType Context triple: [Slush Gusher, locatedInThemeParkType, water park]
-
A.
themeParkAttractionLocation
Indicates the specific place or area within a theme park where a particular attraction is situated.
-
B.
locatedInAttractionScene
Indicates that one entity is situated within or is part of the setting or scene of an attraction.
-
C.
themeParkPresence
Indicates that an entity is present at, located in, or associated with a theme park in the context of a given event or situation.
-
D.
hasThemePark
Indicates that one entity owns, contains, or is associated with a theme park as part of its properties or offerings.
-
E.
partOfAttractionType
Indicates that one attraction type is a component or subset of a broader, more general attraction type.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f2db20d48190b5d69ccf89f3bc42 |
completed | April 18, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_69e3830d2a90819092386717dc56f0e8 |
completed | April 18, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69e3873f62108190966c4e741ebd548d |
completed | April 18, 2026, 1:29 p.m. |
Created at: April 10, 2026, 5:36 a.m.