Triple

T11273548
Position Surface form Disambiguated ID Type / Status
Subject Colca Canyon E266871 entity
Predicate touristInfrastructureCenter P2976 FINISHED
Object Chivay E518200 NE FINISHED

How this triple was built (3 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: Chivay | Statement: [Colca Canyon, touristInfrastructureCenter, Chivay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chivay
Context triple: [Colca Canyon, touristInfrastructureCenter, Chivay]
  • A. Chivay chosen
    Chivay is a small Andean town in southern Peru that serves as the main gateway and service hub for visitors to the Colca Canyon.
  • B. Colina
    Colina is a commune and city in central Chile known for its growing residential areas and proximity to Santiago in the Santiago Metropolitan Region.
  • C. Chimbote
    Chimbote is a coastal city in north-central Peru known for its fishing industry and port on the Pacific Ocean.
  • D. Huancayo
    Huancayo is a major city in the central highlands of Peru, known as a commercial and cultural hub of the Mantaro Valley.
  • E. Abancay
    Abancay is a city in the Andean highlands of Peru, serving as the capital of the Apurímac Region and known for its mild climate and surrounding mountainous landscapes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: touristInfrastructureCenter
Context triple: [Colca Canyon, touristInfrastructureCenter, Chivay]
  • A. hasTouristInfrastructure
    Indicates that a place is equipped with facilities and services designed to support and accommodate tourists.
  • B. visitorCenter chosen
    Indicates that a location serves as a visitor center for a place, providing information or services to visitors of that place.
  • C. touristGatewayTo
    Indicates a relationship where one place serves as the primary access point or entry hub for tourists visiting another place.
  • D. hasInformationCenterFor
    Indicates that one entity serves as an information center dedicated to providing information or services related to another entity.
  • E. tourismFeature
    Indicates that something serves as an attraction, amenity, or point of interest relevant to tourism or visitors.
  • F. None of above.

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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e965c9048190804ebb48f0a4817b completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e542c5fdb88190968831279eaeea49 completed April 19, 2026, 9:01 p.m.
PD Predicate disambiguation batch_69d787a240588190aa097298f951c915 completed April 9, 2026, 11:04 a.m.
Created at: April 8, 2026, 9:31 p.m.