Triple

T1068547
Position Surface form Disambiguated ID Type / Status
Subject Great Smoky Mountains National Park E23270 entity
Predicate annualVisitorsRank P21896 FINISHED
Object one of the most visited national parks in the United States 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: one of the most visited national parks in the United States | Statement: [Great Smoky Mountains National Park, annualVisitorsRank, one of the most visited national parks in the United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: annualVisitorsRank
Context triple: [Great Smoky Mountains National Park, annualVisitorsRank, one of the most visited national parks in the United States]
  • A. touristArrivalsRank chosen
    Indicates the relative position of a place compared to others based on the number of tourists arriving there.
  • B. touristArrivalsPerYearApprox
    Indicates an approximate count of how many tourists arrive at a place over the course of a year.
  • C. visitorAttractionRank
    Indicates the relative ranking or position of a visitor attraction compared to other attractions, typically based on popularity, quality, or importance.
  • D. passengerTrafficRankingWorld
    Indicates the relative position of an entity in a global ranking based on the volume of passenger traffic it handles.
  • E. peakPassengerTrafficRank
    Indicates the relative position of an entity in an ordered list based on the amount of passenger traffic it experiences at its peak.
  • 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_69a493ee1f908190992b5f0d1b04459b completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b9e1047481909af1cf8df2a01fff completed March 1, 2026, 10:12 p.m.
PD Predicate disambiguation batch_69a4b736f1e881909bace735b38c0ade completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:42 p.m.