Triple

T28389437
Position Surface form Disambiguated ID Type / Status
Subject 朝天门 E719108 entity
Predicate 旅游等级 P30883 FINISHED
Object 重庆市重点旅游区 NE NERFINISHED

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: 重庆市重点旅游区 | Statement: [朝天门, 旅游等级, 重庆市重点旅游区]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 旅游等级
Context triple: [朝天门, 旅游等级, 重庆市重点旅游区]
  • A. hasTourismRating chosen
    Indicates that an entity has been assigned a specific tourism-related quality or rating, reflecting its appeal or suitability for tourists.
  • B. tourismDevelopmentLevel
    Indicates the extent or intensity to which tourism-related infrastructure, services, and activities have been developed in a given area.
  • C. tourScale
    Indicates the relative size, scope, or extent of a tour in comparison to other tours or a standard reference.
  • D. tourLevel
    Indicates the relative difficulty, expertise, or experience level associated with a particular tour or guided activity.
  • E. tourismType
    Indicates the specific category or kind of tourism activity or experience associated with an entity.
  • 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_69eff6ef211081909d31d9be5f5567e6 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f64ceb933081909992f16507b0e667 completed May 2, 2026, 7:13 p.m.
PD Predicate disambiguation batch_69f641e2f1708190b45b48d6a43c51d2 completed May 2, 2026, 6:26 p.m.
Created at: April 28, 2026, 1:12 a.m.