Triple

T2254900
Position Surface form Disambiguated ID Type / Status
Subject Norwich, Connecticut E49698 entity
Predicate namedAfter P63 FINISHED
Object Norwich, England 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, England | Statement: [Norwich, Connecticut, namedAfter, Norwich, England]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norwich, England
Context triple: [Norwich, Connecticut, namedAfter, Norwich, England]
  • A. Norfolk, England
    Norfolk, England is a largely rural county in East Anglia known for its flat landscapes, the Norfolk Broads waterways, and the historic city of Norwich.
  • B. 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.
  • C. Suffolk, England
    Suffolk, England is a historic rural county in East Anglia known for its medieval towns, coastal landscapes, and agricultural heritage.
  • D. Durham, England
    Durham, England is a historic cathedral city in northeast England known for its Norman architecture, including Durham Cathedral and Castle, and as a prominent university center.
  • E. Northampton, United Kingdom
    Northampton is a large market and industrial town in central England, known historically for its shoe-making industry and its location on the River Nene.
  • 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_69a88aaa9250819095e127d0d77e8a32 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc121af78819085b2e601d2f9bcdf completed March 7, 2026, 6:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf1cded88190aa8edefc5dd94a6c completed March 9, 2026, 12:37 p.m.
Created at: March 4, 2026, 7:47 p.m.