Triple

T2251158
Position Surface form Disambiguated ID Type / Status
Subject Hong Kong International Airport E49618 entity
Predicate hubFor P423 FINISHED
Object HK Express E49553 NE FINISHED

How this triple was built (2 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: HK Express | Statement: [Hong Kong International Airport, hubFor, HK Express]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HK Express
Context triple: [Hong Kong International Airport, hubFor, HK Express]
  • A. HK Express chosen
    HK Express is a Hong Kong-based low-cost airline operating regional flights across Asia.
  • B. UP Express
    UP Express is a dedicated airport rail link in Toronto that provides fast, frequent train service between Union Station downtown and Toronto Pearson International Airport.
  • C. United Express
    United Express is the regional brand for United Airlines, operating shorter-haul feeder flights to connect passengers to United’s mainline network.
  • D. Air Hong Kong
    Air Hong Kong is a Hong Kong-based all-cargo airline that primarily operates regional freight services across Asia.
  • E. Cathay Pacific
    Cathay Pacific is a major Hong Kong-based international airline known for its extensive global network and premium full-service operations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a88aaa9250819095e127d0d77e8a32 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc11d04688190abc04fac3a1804a9 completed March 7, 2026, 6:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b1bc424819087b2ce9a6256a180 completed March 9, 2026, 6:39 a.m.
Created at: March 4, 2026, 7:47 p.m.