Triple

T2229555
Position Surface form Disambiguated ID Type / Status
Subject CX E48731 entity
Predicate airlineCountry P12358 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: [CX, airlineCountry, Hong Kong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hong Kong
Context triple: [CX, airlineCountry, 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. Port of Hong Kong
    The Port of Hong Kong is one of the world’s busiest and most important deep-water container ports, serving as a major international hub for trade and shipping in East Asia.
  • 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: airlineCountry
Context triple: [CX, airlineCountry, Hong Kong]
  • A. linkedAirlineCountry chosen
    Indicates that there is an association between an airline and a country, such as the country where the airline is based, registered, or primarily operates.
  • B. airportLocationCountry
    Indicates that an airport is geographically situated within a specific country.
  • C. nationalAirline
    Indicates that an airline serves as the official or primary flag carrier of a particular country.
  • D. associatedAirlineHeadquarters
    Indicates that an airline is connected to or based at a particular headquarters location.
  • E. linkedAirlineHeadquartersLocation
    Indicates that an airline’s headquarters is located in the specified place or facility.
  • 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_69a88aa51b388190949868ec9766e587 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0685b688190857a76c1043f4b92 completed March 7, 2026, 6:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae65427de48190be3dbc9c0a888332 completed March 9, 2026, 6:14 a.m.
PD Predicate disambiguation batch_69abbdadbb0c8190b3a1ede31b8acbfa completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:47 p.m.