Triple

T3314541
Position Surface form Disambiguated ID Type / Status
Subject Surfers Paradise Beach E69649 entity
Predicate safetyPractice P20206 FINISHED
Object swim between the flags 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: swim between the flags | Statement: [Surfers Paradise Beach, safetyPractice, swim between the flags]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: safetyPractice
Context triple: [Surfers Paradise Beach, safetyPractice, swim between the flags]
  • A. 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.
  • B. safetyRelevant
    Indicates that the associated entity, condition, or information has a direct impact on safety or is critical for preventing harm or accidents.
  • C. safetyRequirement chosen
    Indicates that one entity specifies or imposes conditions, standards, or measures necessary to ensure the safety of another entity or activity.
  • D. safetyGoal
    Indicates that an entity is associated with a specific safety objective or target condition intended to prevent harm or reduce risk.
  • E. notableSafety
    Indicates that an entity is recognized for having significant safety characteristics, performance, or impact relative to others.
  • 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_69ad85a0bb048190a5458d2738012d61 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb10f97b48190afb9c3864faf8cb2 completed March 8, 2026, 5:25 p.m.
PD Predicate disambiguation batch_69ada4282730819092aa39c5f9269df0 completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:11 p.m.