Triple

T22365165
Position Surface form Disambiguated ID Type / Status
Subject Maryborough Regional College E552884 entity
Predicate city P40 FINISHED
Object Maryborough, Victoria NE NERFINISHED

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: Maryborough, Victoria | Statement: [Maryborough Regional College, city, Maryborough, Victoria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maryborough, Victoria
Context triple: [Maryborough Regional College, city, Maryborough, Victoria]
  • A. Maryborough, Victoria, Australia chosen
    Maryborough, Victoria, Australia is a small regional town in central Victoria known for its gold rush heritage and historic railway station.
  • B. Maryborough
    Maryborough is a historic city in Queensland, Australia, known for its heritage architecture and role as a regional service and transport hub.
  • C. Castlemaine
    Castlemaine is a historic gold rush town in central Victoria, Australia, known for its well-preserved heritage architecture, vibrant arts scene, and surrounding bushland.
  • D. Tullamarine, Victoria
    Tullamarine, Victoria is a suburb in Melbourne best known as the location of the city’s primary international airport.
  • E. Hawthorn, Victoria
    Hawthorn, Victoria is an inner suburb of Melbourne, Australia, known for its historic architecture, leafy streets, and vibrant mix of residential, educational, and commercial areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4affcc8190ba7c27d29062558d completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157ffba088190ae455508eb6c2a9c completed April 29, 2026, 12:59 a.m.
Created at: April 16, 2026, 8:44 p.m.