Triple

T3666666
Position Surface form Disambiguated ID Type / Status
Subject Hippy Dippy Pool E77774 entity
Predicate safetyRule P20206 FINISHED
Object no lifeguard after certain hours 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: no lifeguard after certain hours | Statement: [Hippy Dippy Pool, safetyRule, no lifeguard after certain hours]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: safetyRule
Context triple: [Hippy Dippy Pool, safetyRule, no lifeguard after certain hours]
  • A. safetyRequirement chosen
    Indicates that one entity specifies or imposes conditions, standards, or measures necessary to ensure the safety of another entity or activity.
  • B. safetyGoal
    Indicates that an entity is associated with a specific safety objective or target condition intended to prevent harm or reduce risk.
  • C. safety
    Indicates that an entity provides, ensures, or is associated with protection from harm, danger, or risk for another entity or within a given context.
  • D. safetyRelevant
    Indicates that the associated entity, condition, or information has a direct impact on safety or is critical for preventing harm or accidents.
  • E. safetyRegulationEffect
    Indicates how a safety regulation influences or changes the conditions, behaviors, or outcomes associated with the regulated entities.
  • 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc40188988190b1b7ac9c8240a5ff completed March 8, 2026, 6:46 p.m.
PD Predicate disambiguation batch_69adb84a20288190a092e4a1b045fe3f completed March 8, 2026, 5:56 p.m.
Created at: March 8, 2026, 3:25 p.m.