Triple

T22237949
Position Surface form Disambiguated ID Type / Status
Subject Gribskov Municipality E549640 entity
Predicate contains P35 FINISHED
Object Gribskov Forest 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: Gribskov Forest | Statement: [Gribskov Municipality, contains, Gribskov Forest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gribskov Forest
Context triple: [Gribskov Municipality, contains, Gribskov Forest]
  • A. Gribskov forest area chosen
    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.
  • 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. Granitz Forest
    Granitz Forest is a scenic woodland area on Germany’s Rügen Island, known for its beech forests, hiking trails, and the historic Granitz Hunting Lodge.
  • D. Emmerdennen forest
    Emmerdennen forest is a wooded nature area near Emmen in the Netherlands, known for its walking trails and prehistoric burial mounds.
  • E. Kowen Forest
    Kowen Forest is a large pine plantation and recreational forest area east of Canberra in the Australian Capital Territory, popular for activities such as mountain biking, trail running, and orienteering.
  • 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_69e11e4102b881909cf47d3768e25c19 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f13210eb9c8190bc40d06c393e0d9a completed April 28, 2026, 10:17 p.m.
Created at: April 16, 2026, 8:38 p.m.