Triple

T18901561
Position Surface form Disambiguated ID Type / Status
Subject Four Lands E462351 entity
Predicate hasRegion P285 FINISHED
Object Southland 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: Southland | Statement: [Four Lands, hasRegion, Southland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Southland
Context triple: [Four Lands, hasRegion, Southland]
  • A. Southland
    Southland is an American television drama series that portrays the lives and challenges of Los Angeles police officers and detectives with a gritty, realistic style.
  • B. Southland chosen
    Southland is the southernmost region of New Zealand’s South Island, known for its rugged coastlines, fertile farmland, and proximity to Fiordland and Stewart Island.
  • C. Shannon Region
    The Shannon Region is a tourism area in western Ireland centered around the River Shannon, known for its lakes, historic towns, and scenic countryside.
  • D. Boland region
    The Boland region is an area of South Africa’s Western Cape known for its rugby tradition, wine-producing valleys, and proximity to the Cape Town metropolitan area.
  • E. Hume region
    The Hume region is an administrative and geographic area in northeastern Victoria, Australia, encompassing cities like Wodonga and known for its mix of regional centres, agriculture, and transport corridors.
  • 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_69d8dcfd05bc819088903cca13cc2846 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c52954bc8190a237627c09615ac1 completed April 20, 2026, 6:18 a.m.
Created at: April 10, 2026, 11:58 a.m.