Triple

T10412692
Position Surface form Disambiguated ID Type / Status
Subject Bond Connect E245430 entity
Predicate usesInfrastructureIn P6820 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: [Bond Connect, usesInfrastructureIn, Hong Kong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hong Kong
Context triple: [Bond Connect, usesInfrastructureIn, 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: usesInfrastructureIn
Context triple: [Bond Connect, usesInfrastructureIn, Hong Kong]
  • A. usesInfrastructure chosen
    Indicates that one entity makes use of, depends on, or operates through the infrastructure provided or managed by another entity.
  • B. supportsInfrastructure
    Indicates that one entity provides resources, services, or capabilities that enable the operation, maintenance, or development of another entity’s infrastructure.
  • C. isPartOfInfrastructure
    Indicates that something belongs to, is included within, or functions as a component of a larger infrastructure system.
  • D. ownedInfrastructureClass
    Indicates that an entity possesses or controls infrastructure belonging to a specified class or category.
  • E. ownerOfInfrastructureUsed
    Indicates that one entity owns the infrastructure that is being used by another entity or activity.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea0e17f081908fb16425f65e5808 completed April 7, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e9084fc81909e1d46a111a1ef2b completed April 10, 2026, 4:37 a.m.
PD Predicate disambiguation batch_69d4dfb6f160819090040644a12395ec completed April 7, 2026, 10:43 a.m.
Created at: April 6, 2026, 12:10 p.m.