Triple

T15648978
Position Surface form Disambiguated ID Type / Status
Subject Buxton, Norfolk E376254 entity
Predicate hasPostTown P2711 FINISHED
Object NORWICH 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 | Statement: [Buxton, Norfolk, hasPostTown, NORWICH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NORWICH
Context triple: [Buxton, Norfolk, hasPostTown, NORWICH]
  • 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
    Norwich is a rural township in Oxford County, Ontario, known for its agricultural community and small-town character.
  • C. Ipswich
    Ipswich is a historic town and port in Suffolk, England, known as one of the country’s oldest continuously inhabited settlements.
  • D. Ipswich
    Ipswich is a historic city in South East Queensland, Australia, known for its heritage architecture and role as a major residential and industrial hub west of Brisbane.
  • E. Norwich–Cambridge
    Norwich–Cambridge is a regional passenger rail service in eastern England linking the city of Norwich with Cambridge.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ed7212c8190be6ff76afa25f7ca completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff7568028481908caa1e49541bbcf1 completed May 9, 2026, 5:56 p.m.
Created at: April 10, 2026, 4:15 a.m.