Triple

T1398131
Position Surface form Disambiguated ID Type / Status
Subject Enchanted Forest Water Safari E30715 entity
Predicate safetyPolicy P12725 FINISHED
Object lifeguards on duty 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: lifeguards on duty | Statement: [Enchanted Forest Water Safari, safetyPolicy, lifeguards on duty]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: safetyPolicy
Context triple: [Enchanted Forest Water Safari, safetyPolicy, lifeguards on duty]
  • A. safety chosen
    Indicates that an entity provides, ensures, or is associated with protection from harm, danger, or risk for another entity or within a given context.
  • B. explainsPolicy
    Indicates that one entity provides a clarification or detailed description of a policy to another entity.
  • C. safetyRequirement
    Indicates that one entity specifies or imposes conditions, standards, or measures necessary to ensure the safety of another entity or activity.
  • D. governingPolicy
    Indicates that one entity serves as the authoritative policy or set of rules that directs, constrains, or regulates the behavior, operation, or decisions of another entity.
  • E. issuesPolicyOn
    Indicates that an authority or organization formally creates, approves, or enacts a policy concerning a particular subject or domain.
  • 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_69a498fd4e408190bd73eca30ea9754c completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c382b6588190833c39ac84fb6139 completed March 1, 2026, 10:53 p.m.
PD Predicate disambiguation batch_69a4bf017f8081908572121560ec621f completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:59 p.m.