Triple

T2909475
Position Surface form Disambiguated ID Type / Status
Subject Journey Behind the Falls E63646 entity
Predicate typicalExperience P22109 FINISHED
Object viewing Horseshoe Falls from behind through portals 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: viewing Horseshoe Falls from behind through portals | Statement: [Journey Behind the Falls, typicalExperience, viewing Horseshoe Falls from behind through portals]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalExperience
Context triple: [Journey Behind the Falls, typicalExperience, viewing Horseshoe Falls from behind through portals]
  • A. experiences
    Indicates that an entity undergoes, feels, or is affected by a particular event, state, or condition.
  • B. typicalIn
    Indicates that something commonly occurs, appears, or is found within a given context, category, or environment.
  • C. experienceType chosen
    Indicates the specific kind or category of experience associated with an entity or event.
  • D. typicallySpared
    Indicates that an entity is usually not affected by, excluded from, or left untouched by a particular action, process, or condition.
  • E. typicalAssumption
    Indicates that something is taken as a standard or default assumption that generally holds in typical or normal circumstances.
  • 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.