Triple

T10517815
Position Surface form Disambiguated ID Type / Status
Subject HKE E248078 entity
Predicate airlineName P9049 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: [HKE, airlineName, HK Express]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HK Express
Context triple: [HKE, airlineName, HK Express]
  • A. HK Express chosen
    HK Express is a Hong Kong-based low-cost airline operating regional flights across Asia.
  • B. Airphil Express
    Airphil Express was a Philippine low-cost airline that operated domestic and regional flights before being rebranded as PAL Express, a subsidiary of Philippine Airlines.
  • C. 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.
  • D. National Express
    National Express is a major UK-based coach and bus operator providing long-distance and local passenger transport services domestically and internationally.
  • E. Sky Express
    Sky Express is a Greek regional airline that operates domestic flights connecting numerous islands and mainland cities within Greece.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509cd0fb8819087de2f9a93bad6e6 completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96b3d6f6c81908d8247da9d9caab2 completed April 10, 2026, 9:27 p.m.
Created at: April 6, 2026, 12:28 p.m.