Triple

T10095913
Position Surface form Disambiguated ID Type / Status
Subject Region Zealand E215864 entity
Predicate largestCity P235 FINISHED
Object Køge E584005 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: Køge | Statement: [Region Zealand, largestCity, Køge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Køge
Context triple: [Region Zealand, largestCity, Køge]
  • A. Køge chosen
    Køge is a historic coastal town and seaport on the island of Zealand in eastern Denmark, known for its well-preserved medieval center and role as a regional transport hub.
  • B. Ringkøbing
    Ringkøbing is a historic market town in western Denmark known for its well-preserved old town center and proximity to the Ringkøbing Fjord.
  • C. Næstved
    Næstved is a historic market town and commercial center in southern Denmark, located on the island of Zealand.
  • D. Middelfart
    Middelfart is a coastal town in central Denmark known for its location on the island of Funen by the Little Belt strait and its historic role as a trading and ferry port.
  • E. Holbæk
    Holbæk is a coastal town and municipality in northwestern Zealand, Denmark, known for its harbor on Holbæk Fjord and role as a regional commercial and cultural center.
  • 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_69ca83a4947c8190823a7495dc5d96ed completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd0798c248190af675e30e280daa8 completed April 2, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d74fc3f9608190b4472b2b87009cca completed April 9, 2026, 7:05 a.m.
Created at: March 30, 2026, 9:02 p.m.