Triple

T8363971
Position Surface form Disambiguated ID Type / Status
Subject Wulong District E197075 entity
Predicate UNESCOInscriptionCategory P7642 FINISHED
Object natural site 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: natural site | Statement: [Wulong District, UNESCOInscriptionCategory, natural site]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: UNESCOInscriptionCategory
Context triple: [Wulong District, UNESCOInscriptionCategory, natural site]
  • A. UNESCOInscriptionScope
    Indicates the scope or extent of what is covered by a site's inscription on the UNESCO World Heritage List (e.g., which parts, features, or areas are officially included).
  • B. UNESCOSiteType chosen
    Indicates the classification of a UNESCO World Heritage Site according to its type (e.g., cultural, natural, or mixed).
  • C. UNESCOHeritage
    Indicates that a place, site, or cultural/natural asset has been officially inscribed on the UNESCO World Heritage List as having outstanding universal value.
  • D. unescoDesignation
    Indicates that an entity has been granted a specific designation or status by UNESCO.
  • E. culturalDesignation
    Indicates that an entity has been assigned a particular cultural status, label, or classification within a specific cultural or heritage context.
  • 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_69ca82f2dbe48190aba982e75a0d94de completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb808a67f88190849152102bfeb574 completed March 31, 2026, 8:06 a.m.
PD Predicate disambiguation batch_69cb70cd04b08190ab5f72afd22a7967 completed March 31, 2026, 6:59 a.m.
Created at: March 30, 2026, 6 p.m.