Triple

T9455571
Position Surface form Disambiguated ID Type / Status
Subject Christian II of Denmark E228005 entity
Predicate deathPlace P21 FINISHED
Object Kalundborg E146019 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: Kalundborg | Statement: [Christian II of Denmark, deathPlace, Kalundborg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalundborg
Context triple: [Christian II of Denmark, deathPlace, Kalundborg]
  • A. Kalundborg chosen
    Kalundborg is a historic Danish town on the island of Zealand, known for its medieval architecture and significant industrial and port activities.
  • B. 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.
  • C. Næstved
    Næstved is a historic market town and commercial center in southern Denmark, located on the island of Zealand.
  • D. Sønderborg
    Sønderborg is a coastal town in southern Denmark known for its historic castle, waterfront setting on the island of Als, and role as a regional cultural and educational center.
  • E. Gladsaxe
    Gladsaxe is a municipality in the northern suburbs of Copenhagen, Denmark, known for its residential areas, green spaces, and role as part of the Greater Copenhagen urban region.
  • 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_69ca843b123881909b0e60028475d12d completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f8f7e1481909318e473ab4d6460 completed April 1, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d23caf70f8819090ba25c4395c3de2 completed April 5, 2026, 10:42 a.m.
Created at: March 30, 2026, 7:52 p.m.