Triple

T22952292
Position Surface form Disambiguated ID Type / Status
Subject Yarram E570050 entity
Predicate electoralDivisionFederal P1566 FINISHED
Object Monash 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: Monash | Statement: [Yarram, electoralDivisionFederal, Monash]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monash
Context triple: [Yarram, electoralDivisionFederal, Monash]
  • A. Monash chosen
    Monash is an Australian federal electoral division in the state of Victoria, named after the distinguished World War I general Sir John Monash.
  • B. Monash
    Monash is a small town in South Australia's Riverland region, known for its irrigated agriculture and family-friendly adventure playground.
  • C. Monash University
    Monash University is a major Australian public research university known for its strong global rankings, extensive international campuses, and wide range of academic and professional programs.
  • D. University of Melbourne
    The University of Melbourne is a leading Australian public research university renowned globally for its strong academic programs, high-impact research, and vibrant campus life.
  • E. La Trobe University
    La Trobe University is a major Australian public research university based in Melbourne, known for its strengths in humanities, social sciences, and health sciences.
  • 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_69e2459199d08190a8184ee2aa935842 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181a285448190a718734fe933d51a completed April 29, 2026, 3:57 a.m.
Created at: April 17, 2026, 3:46 p.m.