Triple

T11432472
Position Surface form Disambiguated ID Type / Status
Subject Taipei–Hong Kong E270918 entity
Predicate servedByCarrier P3844 FINISHED
Object Hong Kong Airlines E872194 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: Hong Kong Airlines | Statement: [Taipei–Hong Kong, servedByCarrier, Hong Kong Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hong Kong Airlines
Context triple: [Taipei–Hong Kong, servedByCarrier, Hong Kong Airlines]
  • A. Hong Kong Airlines chosen
    Hong Kong Airlines is a Hong Kong-based full-service carrier operating regional and international flights primarily across Asia and the Pacific.
  • B. Hong Kong Airways
    Hong Kong Airways was a mid-20th-century Hong Kong-based airline that operated regional services in East and Southeast Asia before ceasing operations.
  • C. Cathay Pacific
    Cathay Pacific is a major Hong Kong-based international airline known for its extensive global network and premium full-service operations.
  • D. Air Hong Kong
    Air Hong Kong is a Hong Kong-based all-cargo airline that primarily operates regional freight services across Asia.
  • E. Singapore Airlines
    Singapore Airlines is the flag carrier of Singapore, renowned for its premium service, extensive international network, and consistently high rankings among the world’s best airlines.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d808855a7481909314f90ad92aae68 completed April 9, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69f08f0d9d0c8190a7b84e647c7491e9 completed April 28, 2026, 10:42 a.m.
Created at: April 8, 2026, 9:35 p.m.