Triple

T1179889
Position Surface form Disambiguated ID Type / Status
Subject South Island E25110 entity
Predicate hasRegion P285 FINISHED
Object Marlborough E42883 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: Marlborough | Statement: [South Island, hasRegion, Marlborough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marlborough
Context triple: [South Island, hasRegion, Marlborough]
  • A. Marlborough chosen
    Marlborough is a renowned wine-producing region in New Zealand, celebrated especially for its high-quality cool-climate varietals.
  • B. Wilton
    Wilton is a town in Saratoga County, New York, known for its suburban communities, commercial development, and proximity to Saratoga Springs.
  • C. Huntingdon
    Huntingdon is a parliamentary constituency in Cambridgeshire, England, best known for being represented for many years by former UK Prime Minister John Major.
  • D. Malvern
    Malvern is a town in Worcestershire, England, known for its historic role in British scientific and defense research as well as its scenic Malvern Hills.
  • E. Aldermaston
    Aldermaston is an English village in Berkshire best known as the site of major anti-nuclear weapons protests and marches.
  • 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_69a494267b4c819088c97a59182bf56a completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd1226fc819083d526ecd22af8ef completed March 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac99775ca081909e4d8c81c40c277b completed March 7, 2026, 9:32 p.m.
Created at: March 1, 2026, 7:45 p.m.