Triple

T13533389
Position Surface form Disambiguated ID Type / Status
Subject Norwich, Ohio E323193 entity
Predicate hasName P744 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: [Norwich, Ohio, hasName, Norwich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norwich
Context triple: [Norwich, Ohio, hasName, 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 rural town in Western Australia's Mid West, known for its heritage architecture and surrounding agricultural and mining activities.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafbb34548190a6b44faa48125cd4 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76babfb948190bc028450ddaa0b72 completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:44 p.m.