Triple

T17351319
Position Surface form Disambiguated ID Type / Status
Subject Savica Waterfall E421817 entity
Predicate safetyBarrierPresent P34538 FINISHED
Object yes 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: yes | Statement: [Savica Waterfall, safetyBarrierPresent, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: safetyBarrierPresent
Context triple: [Savica Waterfall, safetyBarrierPresent, yes]
  • A. hasHazardSignage
    Indicates that appropriate warning or hazard signs are present to alert people to potential dangers associated with the entity.
  • B. isBarrierTo
    Indicates that one entity obstructs, prevents, or significantly hinders another entity from occurring, progressing, or being accessed.
  • C. typicalBarrierType
    Indicates the usual or characteristic type of barrier associated with or used in a given context or situation.
  • D. hasGuardBars
    Indicates that one entity is equipped with or protected by guard bars installed on or around it.
  • E. hasSafetyInfrastructure chosen
    Indicates that appropriate safety-related structures, systems, or measures are present for the referenced entity or environment.
  • 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a2ca0708190aae8306ec3a6f2a7 completed April 19, 2026, 2:13 a.m.
PD Predicate disambiguation batch_69e3b02662d08190a07d0fb5c04b6f33 completed April 18, 2026, 4:24 p.m.
Created at: April 10, 2026, 5:44 a.m.