Triple

T11815473
Position Surface form Disambiguated ID Type / Status
Subject Mascot E280987 entity
Predicate hasAirport P105 FINISHED
Object Sydney Airport E58759 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: Sydney Airport | Statement: [Mascot, hasAirport, Sydney Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sydney Airport
Context triple: [Mascot, hasAirport, Sydney Airport]
  • A. Sydney Airport International Terminal
    Sydney Airport International Terminal is the main international passenger terminal at Sydney Kingsford Smith Airport, handling the majority of the airport’s overseas flights and related services.
  • B. Griffith Airport
    Griffith Airport is a regional airport serving the city of Griffith and the surrounding Riverina area in New South Wales, Australia.
  • C. Melbourne Airport (Tullamarine)
    Melbourne Airport (Tullamarine) is the primary international and domestic airport serving the city of Melbourne, Australia.
  • D. Brisbane Airport
    Brisbane Airport is a major international and domestic airport in Queensland, Australia, serving Brisbane and acting as a key hub for several airlines.
  • E. Sydney Kingsford Smith Airport chosen
    Sydney Kingsford Smith Airport is the primary international and domestic airport serving Sydney, Australia, and one of the busiest airports in the country.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5ccbbd481908c9013cb5a50c079 completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f49cbc6808819094a73b505907e2ef completed May 1, 2026, 12:29 p.m.
Created at: April 8, 2026, 9:42 p.m.