Triple

T4106535
Position Surface form Disambiguated ID Type / Status
Subject Kuhio Beach E88463 entity
Predicate hasSafety P12725 FINISHED
Object generally suitable for children under supervision 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: generally suitable for children under supervision | Statement: [Kuhio Beach, hasSafety, generally suitable for children under supervision]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSafety
Context triple: [Kuhio Beach, hasSafety, generally suitable for children under supervision]
  • A. hasSafetyCertificate
    Indicates that an entity possesses or has been granted a valid safety certificate.
  • B. hasSafetyInfrastructure
    Indicates that appropriate safety-related structures, systems, or measures are present for the referenced entity or environment.
  • C. hasSafetyRegulationCompliance
    Indicates that an entity adheres to, satisfies, or is in conformity with specified safety regulations or standards.
  • D. 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.
  • E. measuresSafetyUsing
    Indicates that an entity evaluates or assesses safety by employing a specified method, tool, or standard.
  • 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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af03d7240c8190a64dcbc669772808 completed March 9, 2026, 5:31 p.m.
PD Predicate disambiguation batch_69af0183eb84819087d7184de28f5514 completed March 9, 2026, 5:21 p.m.
Created at: March 9, 2026, 3:40 p.m.