Triple

T9526064
Position Surface form Disambiguated ID Type / Status
Subject Ripley, Derbyshire, England E229762 entity
Predicate shireDistrict P20673 FINISHED
Object Amber Valley E117164 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: Amber Valley | Statement: [Ripley, Derbyshire, England, shireDistrict, Amber Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amber Valley
Context triple: [Ripley, Derbyshire, England, shireDistrict, Amber Valley]
  • A. Amber Valley chosen
    Amber Valley is a local government district and borough in central England known for its mix of historic industrial towns and rural Derbyshire countryside.
  • B. Sabden Valley
    Sabden Valley is a rural valley in Lancashire, England, characterized by its scenic countryside and the village of Sabden nestled within it.
  • C. Belbek Valley
    Belbek Valley is a scenic river valley in southwestern Crimea known for its steep limestone cliffs, fertile lands, and historical cave settlements.
  • D. Avon Valley
    Avon Valley is a scenic region in Western Australia known for its rolling farmland, historic towns, and role as the upper catchment area of the Swan River.
  • E. Avon Valley
    Avon Valley is a scenic river valley in southern England known for its meandering waterways, wildlife-rich wetlands, and rural landscapes.
  • 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_69ca847870a881909d8d751a7d29da39 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd989b529c81909ee18dd3d468c816 completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1527253588190ac365203ef382a2d completed April 4, 2026, 6:03 p.m.
Created at: March 30, 2026, 7:59 p.m.