Triple

T19950728
Position Surface form Disambiguated ID Type / Status
Subject Sedbergh E479545 entity
Predicate hasPostTown P2711 FINISHED
Object SEDBERGH NE NERFINISHED

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: SEDBERGH | Statement: [Sedbergh, hasPostTown, SEDBERGH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SEDBERGH
Context triple: [Sedbergh, hasPostTown, SEDBERGH]
  • A. SEDBERGH chosen
    Sedbergh is a small market town in Cumbria, England, known for its historic buildings, surrounding Howgill Fells, and reputation as England’s official book town.
  • B. Seeberg
    Seeberg is a small Swiss municipality located in the Emmental region of the canton of Bern.
  • C. Seeberg
    Seeberg is a German-language surname associated with various notable individuals, including theologian Reinhold Seeberg.
  • D. Sundsberg
    Sundsberg is a residential village and district in the municipality of Kirkkonummi in southern Finland, known for its modern housing and proximity to the Helsinki metropolitan area.
  • E. Smedby
    Smedby is a residential locality in Sweden situated within Upplands Väsby Municipality, north of Stockholm.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a6b694c819080daea9422bcdd38 completed April 20, 2026, 4:55 p.m.
Created at: April 10, 2026, 1:54 p.m.