Triple

T2253975
Position Surface form Disambiguated ID Type / Status
Subject Lowlands E49677 entity
Predicate contains P35 FINISHED
Object Central Belt E60901 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: Central Belt | Statement: [Lowlands, contains, Central Belt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Belt
Context triple: [Lowlands, contains, Central Belt]
  • A. Midlands–North-West
    Midlands–North-West is a large European Parliament constituency in Ireland that covers much of the country’s western and northern regions, including towns such as Ballina in County Mayo.
  • B. Midlands
    Midlands is a central province of Zimbabwe known for its mining activities and diverse mix of ethnic groups.
  • C. Midlands
    The Midlands is a central region of England known for its mix of major industrial cities, historic towns, and rural landscapes, lying between the north and south of the country.
  • D. central Scotland chosen
    Central Scotland is the densely populated heartland of the country, encompassing major cities like Glasgow and Edinburgh and serving as a key hub for Scotland’s transport, economy, and culture.
  • E. North East
    North East is a rural town in northeastern Dutchess County, New York, known for its agricultural landscape and the village of Millerton.
  • 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_69a88aaa9250819095e127d0d77e8a32 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc12029548190af9f2cdd7a4de2d6 completed March 7, 2026, 6:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71c487908190903e06bcb2393484 completed March 9, 2026, 7:07 a.m.
Created at: March 4, 2026, 7:47 p.m.