Triple

T15375001
Position Surface form Disambiguated ID Type / Status
Subject Roman Catholic Diocese of Wollongong E367644 entity
Predicate regionServed P82 FINISHED
Object Macarthur E1077199 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: Macarthur | Statement: [Roman Catholic Diocese of Wollongong, regionServed, Macarthur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Macarthur
Context triple: [Roman Catholic Diocese of Wollongong, regionServed, Macarthur]
  • A. Macarthur
    Macarthur is a residential suburb in Canberra, Australian Capital Territory, known for its family-friendly environment and proximity to nature reserves.
  • B. Macarthur chosen
    Macarthur is an Australian federal electoral division in New South Wales that includes the Campbelltown area in Sydney’s south-west.
  • C. McArthur
    McArthur is a surname most notably associated with American oceanographer and NASA astronaut Megan McArthur.
  • D. MacArthur
    MacArthur is a Scottish-origin surname notably borne by several prominent American military figures and public personalities.
  • E. MacArthur
    MacArthur is a small unincorporated community located in Raleigh County, West Virginia, United States.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e5d6f808190b0a4cdb35dc89e69 completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b5502508190bd39b6d81ee57cc0 completed May 9, 2026, 10:24 a.m.
Created at: April 10, 2026, 3:18 a.m.