Triple

T22925809
Position Surface form Disambiguated ID Type / Status
Subject Greve Municipality E569302 entity
Predicate locatedIn P40 FINISHED
Object Region Zealand 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: Region Zealand | Statement: [Greve Municipality, locatedIn, Region Zealand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Region Zealand
Context triple: [Greve Municipality, locatedIn, Region Zealand]
  • A. Region Zealand chosen
    Region Zealand is an administrative region in eastern Denmark that encompasses the southern and western parts of the island of Zealand and nearby islands.
  • B. Zealand
    Zealand is the largest and most populous island of Denmark, home to the capital city Copenhagen and a central hub of the country’s cultural and economic life.
  • C. island of Zealand
    The island of Zealand is Denmark’s largest and most populous island, home to the capital city Copenhagen and a central hub of the country’s cultural, economic, and political life.
  • D. Westhavelland
    Westhavelland is a rural region in western Brandenburg, Germany, characterized by extensive wetlands, lakes, and protected natural landscapes.
  • E. North Zealand
    North Zealand is a region in the northern part of the Danish island of Zealand, known for its historic castles, coastal landscapes, and affluent residential areas.
  • 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_69e2458f7d008190901dccbaebeaba24 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f180d90a9481908ea10019980b3951 completed April 29, 2026, 3:54 a.m.
Created at: April 17, 2026, 3:43 p.m.