Triple

T2909477
Position Surface form Disambiguated ID Type / Status
Subject Journey Behind the Falls E63646 entity
Predicate safetyEquipmentProvided P26738 FINISHED
Object rain poncho 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: rain poncho | Statement: [Journey Behind the Falls, safetyEquipmentProvided, rain poncho]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: safetyEquipmentProvided
Context triple: [Journey Behind the Falls, safetyEquipmentProvided, rain poncho]
  • A. safetyEquipment chosen
    Indicates that one entity serves as safety equipment used to protect another entity from harm or danger.
  • B. protectiveEquipment
    Indicates that one entity serves as protective equipment used to safeguard another entity from harm or risk.
  • C. safetyRequirement
    Indicates that one entity specifies or imposes conditions, standards, or measures necessary to ensure the safety of another entity or activity.
  • D. equippedFor
    Indicates that one entity is suitably provided with the necessary tools, features, or capabilities to perform a particular function or handle a specific situation for another entity or purpose.
  • 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_69ab4c44ab448190b9411324e8a1fc1d completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe0d329c88190b6fcaef0be1799eb completed March 7, 2026, 8:24 a.m.
PD Predicate disambiguation batch_69abdd1b77608190b20fc078fdb85e64 completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 10:11 p.m.