Triple

T14017933
Position Surface form Disambiguated ID Type / Status
Subject Useriner See E337247 entity
Predicate hasTourismForm P112497 FINISHED
Object nature tourism 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: nature tourism | Statement: [Useriner See, hasTourismForm, nature tourism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTourismForm
Context triple: [Useriner See, hasTourismForm, nature tourism]
  • A. hasTourismFunction
    Indicates that an entity serves a role or purpose related to tourism, such as attracting, accommodating, or providing services to tourists.
  • B. hasTourismHub
    Indicates that a place functions as a central location or focal point for tourism-related activities, services, or attractions for another place or region.
  • C. hasTourismAuthority
    Indicates that an entity holds official responsibility or power to manage, regulate, or oversee tourism-related activities for another entity or area.
  • D. hasTourismResource
    Indicates that a place, area, or entity possesses or is associated with a tourism-related resource, attraction, or facility.
  • E. hasTourismPotential
    Indicates that a place or resource possesses qualities that make it attractive or suitable for tourism activities or development.
  • F. None of above. chosen

Provenance (4 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2f3b5b088190a58715779d2c46a6 completed April 14, 2026, 12:12 p.m.
PD Predicate disambiguation batch_69de05a802ac819090604025aae6a4d5 completed April 14, 2026, 9:15 a.m.
PDg Predicate description generation batch_69de239524688190a0f2408c239cfcaa completed April 14, 2026, 11:23 a.m.
Created at: April 9, 2026, 10:19 p.m.