Triple

T18816071
Position Surface form Disambiguated ID Type / Status
Subject Wonnarua E460136 entity
Predicate traditionalTownRegion P88079 FINISHED
Object Maitland 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: Maitland | Statement: [Wonnarua, traditionalTownRegion, Maitland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maitland
Context triple: [Wonnarua, traditionalTownRegion, Maitland]
  • A. Maitland
    Maitland is a rural service town located in the central region of South Australia's Yorke Peninsula.
  • B. Maitland
    Maitland is a Scottish surname historically associated with the noble Lauderdale family and other prominent lineages.
  • C. Maitland, New South Wales chosen
    Maitland, New South Wales is a historic regional city in Australia known for its heritage architecture and proximity to the Hunter Valley wine region.
  • D. Maryborough
    Maryborough is a historic city in Queensland, Australia, known for its heritage architecture and role as a regional service and transport hub.
  • E. Maitlandview
    Maitlandview is a small rural community located within the township of Edwardsburgh/Cardinal in eastern Ontario, Canada.
  • 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a3e092e081908fc310c70f646e79 completed April 20, 2026, 3:56 a.m.
Created at: April 10, 2026, 11:55 a.m.