Triple

T6862401
Position Surface form Disambiguated ID Type / Status
Subject MEL E158312 entity
Predicate alsoKnownAs P39 FINISHED
Object Tullamarine Airport E160813 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: Tullamarine Airport | Statement: [MEL, alsoKnownAs, Tullamarine Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tullamarine Airport
Context triple: [MEL, alsoKnownAs, Tullamarine Airport]
  • A. Tullamarine Airport chosen
    Tullamarine Airport is the primary international and domestic airport serving Melbourne, Australia, and one of the country’s busiest aviation hubs.
  • B. Albury Airport
    Albury Airport is a regional airport in New South Wales, Australia, serving the city of Albury and surrounding areas with domestic flights.
  • C. Mildura Airport
    Mildura Airport is a regional airport in northwestern Victoria, Australia, serving the Sunraysia area with domestic flights and general aviation services.
  • D. Essendon Airport
    Essendon Airport is a secondary airport in Melbourne, Australia, that served as the city’s main international airport before being superseded by Melbourne Airport.
  • E. Maitland Airport
    Maitland Airport is a regional airfield serving the Maitland and Rutherford area in New South Wales, Australia, primarily used for general aviation and flight training.
  • 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_69c68830cdbc8190a8301c7a9d9f651a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d887d6648190a0c2d1cb1b284bfe completed March 27, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fed3e788190b2b68fc93173f73e completed March 28, 2026, 1:33 a.m.
Created at: March 27, 2026, 2:21 p.m.