Triple

T9639106
Position Surface form Disambiguated ID Type / Status
Subject Nyborg E233013 entity
Predicate locatedOn P40 FINISHED
Object island of Funen E33638 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: island of Funen | Statement: [Nyborg, locatedOn, island of Funen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: island of Funen
Context triple: [Nyborg, locatedOn, island of Funen]
  • A. North Jutlandic Island
    North Jutlandic Island is a large island in northern Denmark separated from the rest of Jutland by the Limfjord and known for its coastal landscapes and tourism.
  • B. Lolland
    Lolland is a large, predominantly agricultural island in southeastern Denmark known for its flat landscape and sugar beet production.
  • C. Djursland
    Djursland is a rural peninsula in eastern Jutland, Denmark, known for its varied coastline, beaches, and popular holiday and nature tourism.
  • D. Bornholm
    Bornholm is a Danish island known for its rocky coastline, medieval ruins, and picturesque fishing villages in the Baltic Sea.
  • E. Funen chosen
    Funen is Denmark’s third-largest island, located between the Jutland Peninsula and Zealand and known for its rolling countryside and the city of Odense, birthplace of Hans Christian Andersen.
  • 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_69ca848a5a908190aad251f4137b0c3a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b532aa4819087b56be6f5635126 completed April 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69d189fd53fc8190bc36f2b8e0e21036 completed April 4, 2026, 10 p.m.
Created at: March 30, 2026, 8:12 p.m.