Triple

T2229560
Position Surface form Disambiguated ID Type / Status
Subject CX E48731 entity
Predicate airlineIATAHubCode P4364 FINISHED
Object HKG 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: HKG | Statement: [CX, airlineIATAHubCode, HKG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HKG
Context triple: [CX, airlineIATAHubCode, HKG]
  • 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. 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.
  • D. HK
    HK is a renowned German defense manufacturer best known for designing and producing small arms such as pistols, rifles, and submachine guns used by military and law enforcement worldwide.
  • E. HK
    HK is the vehicle registration code used for the Czech city of Hradec Králové.
  • 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: airlineIATAHubCode
Context triple: [CX, airlineIATAHubCode, HKG]
  • A. airlineHub chosen
    Indicates that a particular location (typically an airport or city) serves as a central hub or primary operational base for an airline.
  • B. IATAcode
    Indicates the three-letter IATA airport or airline code assigned to the entity.
  • C. associatedAirlineHeadquarters
    Indicates that an airline is connected to or based at a particular headquarters location.
  • D. ICAOcode
    Indicates that an entity is identified by a specific four-letter airport or aerodrome code assigned by the International Civil Aviation Organization (ICAO).
  • E. hasIATAcode
    Indicates that an entity, typically a transportation facility like an airport, is associated with a specific IATA (International Air Transport Association) code.
  • 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_69ae6afe4d1481908c6c27e889303892 completed March 9, 2026, 6:38 a.m.
PD Predicate disambiguation batch_69abbdadbb0c8190b3a1ede31b8acbfa completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:47 p.m.