Triple

T5398079
Position Surface form Disambiguated ID Type / Status
Subject Detectorists E120705 entity
Predicate filmingLocation P40 FINISHED
Object Suffolk, England E53163 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: Suffolk, England | Statement: [Detectorists, filmingLocation, Suffolk, England]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suffolk, England
Context triple: [Detectorists, filmingLocation, Suffolk, England]
  • A. Suffolk, England chosen
    Suffolk, England is a historic rural county in East Anglia known for its medieval towns, coastal landscapes, and agricultural heritage.
  • B. Cambridgeshire, England
    Cambridgeshire, England is a historic county in eastern England known for its rural landscapes and as the home of the prestigious University of Cambridge.
  • C. 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.
  • D. Ipswich, Suffolk, England
    Ipswich, Suffolk, England is a historic county town in eastern England known for its medieval heritage, maritime history, and role as a regional cultural and commercial center.
  • E. Suffolk
    Suffolk is a historic rural county in eastern England known for its coastal towns, medieval villages, and agricultural landscapes.
  • 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_69bd4637b92c8190b815b6443ae4b323 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87485d5c819096ae574b1badc9d5 completed March 20, 2026, 5:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3379aae881909217c29aee856e5d completed March 22, 2026, 12:10 a.m.
Created at: March 20, 2026, 2:04 p.m.