Triple

T1852488
Position Surface form Disambiguated ID Type / Status
Subject Australian Flying Corps E41625 entity
Predicate trainingLocation P40 FINISHED
Object Point Cook, Victoria E208507 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: Point Cook, Victoria | Statement: [Australian Flying Corps, trainingLocation, Point Cook, Victoria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Point Cook, Victoria
Context triple: [Australian Flying Corps, trainingLocation, Point Cook, Victoria]
  • A. Point Cook, Victoria chosen
    Point Cook, Victoria is a coastal suburb of Melbourne known as the birthplace of the Royal Australian Air Force and home to historic military aviation facilities.
  • B. Dandenong, Victoria
    Dandenong, Victoria is a suburb in Melbourne, Australia, known historically as an industrial and manufacturing hub.
  • C. Richmond, Victoria
    Richmond, Victoria is an inner-city suburb of Melbourne, Australia, known for its vibrant multicultural community, bustling shopping and dining strips, and strong Australian rules football culture.
  • D. Geelong
    Geelong is a coastal city in the state of Victoria, Australia, known as a major regional center southwest of Melbourne.
  • E. Tullamarine, Victoria
    Tullamarine, Victoria is a suburb in Melbourne best known as the location of the city’s primary international airport.
  • 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_69a8864a83848190a4ec02721306c511 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb06999f4819086386aafb789a368 completed March 7, 2026, 4:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf4bda58819088adab01ca10254f completed March 8, 2026, 8:42 p.m.
Created at: March 4, 2026, 7:33 p.m.