Triple

T3292581
Position Surface form Disambiguated ID Type / Status
Subject River Wensum E69134 entity
Predicate crossesCity P13729 FINISHED
Object Norwich city centre E41722 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 city centre | Statement: [River Wensum, crossesCity, Norwich city centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norwich city centre
Context triple: [River Wensum, crossesCity, Norwich city centre]
  • A. Norwich chosen
    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 City Council
    Norwich City Council is the local government authority responsible for providing municipal services and administration for the city of Norwich in England.
  • C. Norwich City Hall
    Norwich City Hall is the historic municipal government building serving the city of Norwich in eastern Connecticut.
  • D. Norwich railway station
    Norwich railway station is the main rail terminus serving the city of Norwich in Norfolk, England, providing regional and intercity services across East Anglia and beyond.
  • E. Downham Market
    Downham Market is a historic market town in Norfolk, England, known for its traditional town center, riverside setting on the River Great Ouse, and role as a local commercial hub.
  • 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_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb07379dc8190b7bb409bcf42bdd6 completed March 8, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e86895988190a7acaa5948b50bcd completed March 12, 2026, 4:23 p.m.
Created at: March 8, 2026, 3:10 p.m.