Triple

T36097497
Position Surface form Disambiguated ID Type / Status
Subject Gopeng E1044105 entity
Predicate presentDayIndustry P24922 FINISHED
Object 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: tourism | Statement: [Gopeng, presentDayIndustry, tourism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: presentDayIndustry
Context triple: [Gopeng, presentDayIndustry, tourism]
  • A. peakIndustry
    Indicates that an entity is at the highest or most dominant level within a particular industry or sector.
  • B. operatorIndustry
    Indicates that an operator (such as a company or organization) is engaged in or associated with a particular industry sector.
  • C. industryStatus
    Indicates the current operational or regulatory condition of an entity within its industry (e.g., active, inactive, regulated, or restricted status).
  • D. industryContext chosen
    Indicates the industry or sector within which an entity, activity, or relationship is situated or most relevant.
  • E. industryActivities
    Indicates the types of economic or business activities in which an industry or sector is engaged.
  • 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_69f76e338e2c8190b7f3bc68bec76349 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fd5f29b1988190877764ef2a399c7f completed May 8, 2026, 3:57 a.m.
PD Predicate disambiguation batch_69fd5e30194c819085b5ce586122ab37 completed May 8, 2026, 3:53 a.m.
Created at: May 3, 2026, 4:08 p.m.