Triple

T9322194
Position Surface form Disambiguated ID Type / Status
Subject Manila–Hong Kong E224294 entity
Predicate connectsTourismHub P17407 FINISHED
Object Hong Kong E8492 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: Hong Kong | Statement: [Manila–Hong Kong, connectsTourismHub, Hong Kong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hong Kong
Context triple: [Manila–Hong Kong, connectsTourismHub, Hong Kong]
  • A. Hong Kong, China chosen
    Hong Kong, China is a major global financial and trading hub and a Special Administrative Region of China located on the southern coast of the country.
  • B. Kowloon
    Kowloon is a densely populated urban area of Hong Kong known for its vibrant street life, markets, and skyline facing Victoria Harbour.
  • C. Macau
    Macau is a Special Administrative Region of China known for its blend of Portuguese and Chinese cultures and its major casino and tourism industry.
  • D. Macau
    Macau is a coastal municipality in the Brazilian state of Rio Grande do Norte, known for its salt production and fishing activities.
  • E. Taipei–Hong Kong
    Taipei–Hong Kong is a heavily traveled East Asian air route connecting Taiwan’s capital with Hong Kong, served by numerous carriers and popular for both business and tourism.
  • 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: connectsTourismHub
Context triple: [Manila–Hong Kong, connectsTourismHub, Hong Kong]
  • A. hasTourismHub
    Indicates that a place functions as a central location or focal point for tourism-related activities, services, or attractions for another place or region.
  • B. tourismAssociation
    Indicates that there is an organizational or formal association related to tourism activities, services, or promotion between the involved entities.
  • C. connectsToTouristRegion
    Indicates that one entity has a direct linkage or association to a tourist region, such as through location, access, or service provision.
  • D. primaryTourismHub
    Indicates that a location serves as the main center or focal point for tourism activities within a given area or region.
  • E. touristGatewayTo chosen
    Indicates a relationship where one place serves as the primary access point or entry hub for tourists visiting another place.
  • 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_69ca8426d48481909596360f7791c7dd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd36f2bd288190bb1556a88d9e90f3 completed April 1, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107836c64819099d8f0f73e9b1a4c completed April 4, 2026, 12:43 p.m.
PD Predicate disambiguation batch_69cc7a61e9a4819096eb014f3791ef2e completed April 1, 2026, 1:52 a.m.
Created at: March 30, 2026, 7:38 p.m.