Triple

T10965453
Position Surface form Disambiguated ID Type / Status
Subject Oxford County E259083 entity
Predicate containsTownship P847 FINISHED
Object Norwich E575183 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: Norwich | Statement: [Oxford County, containsTownship, Norwich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norwich
Context triple: [Oxford County, containsTownship, Norwich]
  • A. Norwich
    Norwich is a historic cathedral city in Norfolk, England, known for its medieval architecture and role as a regional cultural and economic center.
  • B. Norwich chosen
    Norwich is a rural township in Oxford County, Ontario, known for its agricultural community and small-town character.
  • C. Lowestoft
    Lowestoft is a coastal town in Suffolk, England, known as the easternmost settlement in the United Kingdom and a traditional fishing and seaside resort.
  • D. King's Lynn
    King's Lynn is a historic market and port town in Norfolk, England, known for its medieval architecture and long-standing role as a regional commercial center.
  • E. Northampton
    Northampton is a historic market town and the county town of Northamptonshire in the East Midlands of England.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77148c4588190ad0f2b54ee4bab98 completed April 9, 2026, 9:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e3449113f08190b83ffbf1b4c46518 completed April 18, 2026, 8:45 a.m.
Created at: April 8, 2026, 9:24 p.m.