Triple

T16169430
Position Surface form Disambiguated ID Type / Status
Subject Duke of Lauderdale E392394 entity
Predicate associatedSurname P49952 FINISHED
Object Maitland E392388 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: Maitland | Statement: [Duke of Lauderdale, associatedSurname, Maitland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maitland
Context triple: [Duke of Lauderdale, associatedSurname, Maitland]
  • A. Maitland
    Maitland is a rural service town located in the central region of South Australia's Yorke Peninsula.
  • B. Maitland chosen
    Maitland is a Scottish surname historically associated with the noble Lauderdale family and other prominent lineages.
  • C. Maitland, New South Wales
    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 (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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21eb5e6d881908749683091afa90c completed April 17, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a000ec9ab2c819098d96dae98f78f50 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:02 a.m.