Triple
T21459320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Splish Splash water park |
E529427
|
entity |
| Predicate | hasSafetyRules |
P63490
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Splish Splash water park, hasSafetyRules, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSafetyRules Context triple: [Splish Splash water park, hasSafetyRules, true]
-
A.
hasSafetyRegulationCompliance
Indicates that an entity adheres to, satisfies, or is in conformity with specified safety regulations or standards.
-
B.
hasSecurityRegime
Indicates that an entity is governed, protected, or controlled by a particular security regime, framework, or set of security rules.
-
C.
supportsSafetyChecks
Indicates that an entity provides or enables mechanisms for performing safety checks or validations.
-
D.
hasSafetyCharacteristic
chosen
Indicates that an entity possesses a specific safety-related property, feature, or attribute.
-
E.
safetySetting
Indicates that an entity is configured with a particular safety-related parameter, mode, or constraint governing how it operates or behaves.
- 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_69e0c458133481908ae8b41a12c4edec |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9ed36c08190a5178b2308aca8da |
completed | April 23, 2026, 9:44 a.m. |
| PD | Predicate disambiguation | batch_69e631df1b38819088d3604854e697b4 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:08 p.m.