Triple

T4569312
Position Surface form Disambiguated ID Type / Status
Subject Siccar Point unconformity E122990 entity
Predicate locatedIn P40 FINISHED
Object Berwickshire E64234 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: Berwickshire | Statement: [Siccar Point unconformity, locatedIn, Berwickshire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berwickshire
Context triple: [Siccar Point unconformity, locatedIn, Berwickshire]
  • A. Berwickshire chosen
    Berwickshire is a historic county in the southeast of Scotland, bordering England and the North Sea, known for its rural landscapes and coastal scenery.
  • B. Roxburghshire
    Roxburghshire is a historic county in the Scottish Borders, known for its rich medieval heritage and notable monastic sites.
  • C. Aberdeenshire
    Aberdeenshire is a large council area in northeastern Scotland known for its North Sea coastline, rural landscapes, and historic castles.
  • D. Selkirkshire
    Selkirkshire is a historic county in the Scottish Borders, known for its rural landscapes and literary associations, particularly with Sir Walter Scott.
  • E. Kincardineshire
    Kincardineshire is a historic county on the northeast coast of Scotland, known for its rugged coastline, fishing heritage, and agricultural hinterland.
  • 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_69bd46466c7081909d07f36be2d08804 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd58a0dfbc81909b5023f0c29addaf completed March 20, 2026, 2:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8fa179c008190a6bba55cb62b7fe8 completed March 29, 2026, 10:08 a.m.
Created at: March 20, 2026, 1:10 p.m.