Triple

T14586233
Position Surface form Disambiguated ID Type / Status
Subject Køge Bay E342322 entity
Predicate adjacentTo P224 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: [Køge Bay, adjacentTo, Køge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Køge
Context triple: [Køge Bay, adjacentTo, 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb421bb308190a457425429ef6aa5 completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda9167b888190abb8f301b0c7c55b completed May 8, 2026, 9:12 a.m.
Created at: April 10, 2026, 1:24 a.m.