Triple

T20505265
Position Surface form Disambiguated ID Type / Status
Subject Cædmon E503410 entity
Predicate birthPlace P1 FINISHED
Object Northumbria NE NERFINISHED

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: Northumbria | Statement: [Cædmon, birthPlace, Northumbria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Northumbria
Context triple: [Cædmon, birthPlace, Northumbria]
  • A. Northumbria chosen
    Northumbria was a powerful early medieval Anglo-Saxon kingdom and cultural region in northern England and southeastern Scotland, known for its monastic centers like Lindisfarne and its significant role in the Christianization of Britain.
  • B. Northumbrian
    Northumbrian is a historical dialect of Old English once spoken in the Anglo-Saxon kingdom of Northumbria in northern England and southeastern Scotland.
  • C. Northumberland
    Northumberland is a historic and largely rural county in northeast England, known for its rugged coastline, medieval castles, and significant Roman heritage.
  • D. Northumberland
    Northumberland is a small rural town in Saratoga County, New York, known for its agricultural character and proximity to the Hudson River.
  • E. Teesside
    Teesside is an urban area in North East England centered around the River Tees, encompassing towns such as Middlesbrough and Stockton-on-Tees and known for its industrial heritage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b1e52c8190894281cf7e3283ab completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69dc66f00819083c804535e045545 completed April 20, 2026, 9:42 p.m.
Created at: April 16, 2026, 11:35 a.m.