Triple

T7432691
Position Surface form Disambiguated ID Type / Status
Subject Jórvík E171529 entity
Predicate locatedIn P40 FINISHED
Object Northumbria E35002 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: Northumbria | Statement: [Jórvík, locatedIn, Northumbria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Northumbria
Context triple: [Jórvík, locatedIn, 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 (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_69c68a63491881909281f73d4d5643bf completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f325ea908190b668fd4ce646f1e6 completed March 27, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81f187f5081909d171835278c035c completed March 28, 2026, 6:34 p.m.
Created at: March 27, 2026, 3:12 p.m.