Triple

T23110010
Position Surface form Disambiguated ID Type / Status
Subject Bluff E576289 entity
Predicate region P40 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: [Bluff, region, Southland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Southland
Context triple: [Bluff, region, Southland]
  • A. 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.
  • B. Southland
    Southland is a major fictional region in Terry Brooks' Shannara fantasy series, known as the homeland of several key characters and the setting for significant portions of their adventures.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69e245f4af548190898d434a64a1e774 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e0e58308190a355de3ae81dd510 completed April 29, 2026, 4:50 a.m.
Created at: April 17, 2026, 3:58 p.m.