Triple

T9639103
Position Surface form Disambiguated ID Type / Status
Subject Nyborg E233013 entity
Predicate locatedIn P40 FINISHED
Object 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: Funen | Statement: [Nyborg, locatedIn, Funen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Funen
Context triple: [Nyborg, locatedIn, Funen]
  • A. 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.
  • B. Jutland region
    The Jutland region is the large continental part of Denmark that forms the peninsula shared with northern Germany, characterized by its varied coastline, rural landscapes, and key transport corridors.
  • C. South Jutland
    South Jutland is the southernmost region of the Jutland Peninsula, spanning parts of Denmark and historically bordering northern Germany, known for its mixed Danish-German heritage and coastal landscapes.
  • D. Lolland
    Lolland is a large, predominantly agricultural island in southeastern Denmark known for its flat landscape and sugar beet production.
  • E. Central Jutland
    Central Jutland is a region in the middle of the Jutland Peninsula in Denmark, known for its mix of urban centers, agricultural landscapes, and coastal areas.
  • 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_69d18243cfdc81908ecdf039c38de478 completed April 4, 2026, 9:27 p.m.
Created at: March 30, 2026, 8:12 p.m.