Triple

T22237951
Position Surface form Disambiguated ID Type / Status
Subject Gribskov Municipality E549640 entity
Predicate contains P35 FINISHED
Object Gilleleje 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: Gilleleje | Statement: [Gribskov Municipality, contains, Gilleleje]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gilleleje
Context triple: [Gribskov Municipality, contains, Gilleleje]
  • A. Gilleleje chosen
    Gilleleje is a coastal town and fishing port in northern Zealand, Denmark, known for its harbor, beaches, and maritime heritage.
  • B. Grenaa
    Grenaa is a coastal town in eastern Jutland, Denmark, known for its ferry connections to the island of Anholt and its role as a regional commercial and educational center.
  • C. Nysted
    Nysted is a small coastal town in southeastern Denmark known for its historic harbor, medieval church, and proximity to the Baltic Sea.
  • D. Gedser
    Gedser is a small town at the southernmost point of Denmark, known as an important ferry port and transport hub on the island of Falster.
  • E. Farsø
    Farsø is a small Danish town in North Jutland, best known as the birthplace of Nobel Prize–winning author Johannes V. Jensen.
  • 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.