Triple

T24493987
Position Surface form Disambiguated ID Type / Status
Subject Economy of Tonga E617726 entity
Predicate keyTourismAttraction P33214 FINISHED
Object beach 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: beach tourism | Statement: [Economy of Tonga, keyTourismAttraction, beach tourism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: keyTourismAttraction
Context triple: [Economy of Tonga, keyTourismAttraction, beach tourism]
  • A. touristAttractionIn
    Indicates that a place functions as a tourist attraction located within a specified geographic area or entity.
  • B. tourismFeature chosen
    Indicates that something serves as an attraction, amenity, or point of interest relevant to tourism or visitors.
  • C. hasTouristAttractionRole
    Indicates that an entity serves in the capacity or function of a tourist attraction for another entity (such as a place, organization, or area).
  • D. heritageAttraction
    Indicates that something is recognized or designated as a heritage-related attraction, typically of cultural, historical, or natural significance.
  • E. tourismCharacteristic
    Indicates that something has a specific feature, quality, or attribute relevant to tourism, such as what makes a place, service, or activity notable or suitable for tourists.
  • 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_69e2d7f4e6bc8190aec540ae3b9ed7f2 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f2a9d912e88190bc39c05a9d7f407e completed April 30, 2026, 1:01 a.m.
PD Predicate disambiguation batch_69f2a6a4580481908fddc385f5262f95 completed April 30, 2026, 12:47 a.m.
Created at: April 18, 2026, 2:22 a.m.