Triple

T22882122
Position Surface form Disambiguated ID Type / Status
Subject Eastern suburbs of Melbourne E567502 entity
Predicate contains P35 FINISHED
Object Mount Waverley 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: Mount Waverley | Statement: [Eastern suburbs of Melbourne, contains, Mount Waverley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Waverley
Context triple: [Eastern suburbs of Melbourne, contains, Mount Waverley]
  • A. Mount Waverley chosen
    Mount Waverley is a residential suburb in Melbourne, Victoria, Australia, known for its family-friendly environment, schools, and access to public transport.
  • B. Mount Hutton
    Mount Hutton is a residential suburb in the Lake Macquarie region of New South Wales, Australia.
  • C. Mount Sealy
    Mount Sealy is a mountain peak located within New Zealand’s Southern Alps, known for its alpine scenery and proximity to Aoraki / Mount Cook.
  • D. Mount Wollaston
    Mount Wollaston is a historic area in Quincy, Massachusetts, that served as one of the earliest English colonial settlements in New England.
  • E. Mount Murchison
    Mount Murchison is a prominent peak in New Zealand’s Southern Alps, known for its alpine scenery and challenging mountaineering routes.
  • 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_69e2458a92ec81908fc1cd5f6407d2ab completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f5cd98c8190b3c31ffd4c066331 completed April 29, 2026, 3:47 a.m.
Created at: April 17, 2026, 3:39 p.m.