Triple

T21535315
Position Surface form Disambiguated ID Type / Status
Subject Swiss customs territory E531334 entity
Predicate borderControlsApplyTo P121973 FINISHED
Object imports 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: imports | Statement: [Swiss customs territory, borderControlsApplyTo, imports]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: borderControlsApplyTo
Context triple: [Swiss customs territory, borderControlsApplyTo, imports]
  • A. borderControls
    Indicates that one entity enforces or administers border control measures over another entity or at a specific boundary.
  • 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 chosen
    Indicates a policy or action implemented to regulate, monitor, or restrict the movement of people or goods across a border.
  • D. borderControlCoordinatedWith
    Indicates that one entity coordinated its border control activities or policies with another entity.
  • E. borderOpening
    Indicates that a border between two regions is being opened or made accessible for crossing or interaction.
  • 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_69e0c45e5b8881908ac18fc2f493b114 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee9d0ce8d08190b3233d7117a9b1ca completed April 26, 2026, 11:17 p.m.
PD Predicate disambiguation batch_69e6320766308190ba5dca2f7c826aa4 completed April 20, 2026, 2:02 p.m.
Created at: April 16, 2026, 6:27 p.m.