Triple

T18596946
Position Surface form Disambiguated ID Type / Status
Subject Infinite Bridge E454515 entity
Predicate near P350 FINISHED
Object Marselisborg Forests 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: Marselisborg Forests | Statement: [Infinite Bridge, near, Marselisborg Forests]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marselisborg Forests
Context triple: [Infinite Bridge, near, Marselisborg Forests]
  • A. Marselisborg Forests chosen
    Marselisborg Forests is a large recreational woodland area near Aarhus, Denmark, known for its scenic trails, coastal views, and outdoor leisure activities.
  • B. Almindingen Forest
    Almindingen Forest is one of Denmark’s largest and most famous woodlands, known for its diverse nature, hiking trails, and historical sites on the island of Bornholm.
  • C. Emmerdennen forest
    Emmerdennen forest is a wooded nature area near Emmen in the Netherlands, known for its walking trails and prehistoric burial mounds.
  • D. Gribskov forest area
    Gribskov forest area is one of Denmark’s largest and oldest woodland regions, known for its diverse natural habitats, historic landscapes, and extensive recreational trails.
  • E. Hallerbos forest
    Hallerbos forest is a renowned woodland in Belgium famous for its spectacular springtime carpet of blooming bluebells that draws visitors and photographers from around the world.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5474ce0c08190b440cbe86b6ef7b9 completed April 19, 2026, 9:21 p.m.
Created at: April 10, 2026, 11:44 a.m.