Triple

T7173372
Position Surface form Disambiguated ID Type / Status
Subject western England E167256 entity
Predicate borderedBy P224 FINISHED
Object Midlands E20314 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: Midlands | Statement: [western England, borderedBy, Midlands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Midlands
Context triple: [western England, borderedBy, Midlands]
  • A. Midlands
    Midlands is a central province of Zimbabwe known for its mining activities and diverse mix of ethnic groups.
  • B. Midlands chosen
    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.
  • C. 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.
  • D. Midlands, England
    Midlands, England is a central region of England known for its mix of industrial cities and rural landscapes, historically significant in the country’s manufacturing and literary heritage.
  • 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_69c68889a2748190a316c5e65360361a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e88c5b708190ab81622ea82c2d23 completed March 27, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b921b1e48190b25c1337f6187174 completed March 28, 2026, 11:18 a.m.
Created at: March 27, 2026, 2:48 p.m.