Triple

T6671955
Position Surface form Disambiguated ID Type / Status
Subject Meppel E151750 entity
Predicate hasTwinTown P919 FINISHED
Object Norden E228667 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: Norden | Statement: [Meppel, hasTwinTown, Norden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norden
Context triple: [Meppel, hasTwinTown, Norden]
  • A. Norden
    Norden is a suburban village and residential area within the Metropolitan Borough of Rochdale in Greater Manchester, England.
  • B. Norden chosen
    Norden is a historic coastal town in northern Germany’s East Frisia region, known for its North Sea proximity and traditional Frisian character.
  • C. Scandinavia
    Scandinavia is a cultural and geographical region in Northern Europe, typically comprising Norway, Sweden, and Denmark, known for its high living standards, social welfare systems, and distinctive Nordic culture.
  • D. Nord
    Nord is a department in northern France known for its industrial heritage, dense population, and proximity to Belgium.
  • E. Fennoscandia
    Fennoscandia is a geological and geographical region in northern Europe that encompasses the Scandinavian and Kola peninsulas, Finland, and parts of northwestern Russia.
  • 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_69c687f71fc081909dbd45d6377f6045 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0ca49f88190b9c8e0f641be0c3f completed March 27, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f79f1718819098d8a6d08bf7f919 completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2:03 p.m.