Triple

T5405206
Position Surface form Disambiguated ID Type / Status
Subject Saint Drostan E120875 entity
Predicate associatedWith P37 FINISHED
Object Aberdeenshire E39914 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: Aberdeenshire | Statement: [Saint Drostan, associatedWith, Aberdeenshire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aberdeenshire
Context triple: [Saint Drostan, associatedWith, Aberdeenshire]
  • A. Aberdeenshire chosen
    Aberdeenshire is a large council area in northeastern Scotland known for its North Sea coastline, rural landscapes, and historic castles.
  • B. Inverness-shire
    Inverness-shire is a historic county in the Scottish Highlands, encompassing a vast area of mainland and island landscapes, including parts of the Inner and Outer Hebrides.
  • C. Selkirkshire
    Selkirkshire is a historic county in the Scottish Borders, known for its rural landscapes and literary associations, particularly with Sir Walter Scott.
  • D. Edinburghshire
    Edinburghshire is the historic name for the Scottish county now known as Midlothian, which encompasses the area surrounding the city of Edinburgh.
  • E. Berwickshire
    Berwickshire is a historic county in the southeast of Scotland, bordering England and the North Sea, known for its rural landscapes and coastal scenery.
  • 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_69bd46391c0c81909fa484446732b6a3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8775e964819085c0ff5afea35f0e completed March 20, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69d121b5cc1c819093109b22acacf98f completed April 4, 2026, 2:35 p.m.
Created at: March 20, 2026, 2:05 p.m.