Triple

T26490416
Position Surface form Disambiguated ID Type / Status
Subject Kruså E669139 entity
Predicate borderControlHistory P143681 FINISHED
Object former customs checkpoint between Denmark and Germany LITERAL 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: former customs checkpoint between Denmark and Germany | Statement: [Kruså, borderControlHistory, former customs checkpoint between Denmark and Germany]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: borderControlHistory
Context triple: [Kruså, borderControlHistory, former customs checkpoint between Denmark and Germany]
  • A. hasBorderControlHistory chosen
    Indicates that there is a documented history of actions, policies, or events related to border control involving the associated entities.
  • B. borderControlSide
    Indicates that one entity is positioned on or associated with a particular side or segment of a border control area or checkpoint.
  • C. borderControlMeasure
    Indicates a policy or action implemented to regulate, monitor, or restrict the movement of people or goods across a border.
  • D. borderHistory
    Indicates the historical changes, events, or status of borders between entities over time.
  • E. borderControls
    Indicates that one entity enforces or administers border control measures over another entity or at a specific boundary.
  • F. None of above.

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_69eeb319007081909642b414b114b35a completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f7817daf00819098936402e75ab0a6 completed May 3, 2026, 5:10 p.m.
PD Predicate disambiguation batch_69f780fc5ed88190b7200ee5a29940af completed May 3, 2026, 5:08 p.m.
Created at: April 27, 2026, 1:03 a.m.