Triple

T24257797
Position Surface form Disambiguated ID Type / Status
Subject Germany–Netherlands border crossings E604618 entity
Predicate typicalControlStatus P57988 FINISHED
Object no routine passport controls 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: no routine passport controls | Statement: [Germany–Netherlands border crossings, typicalControlStatus, no routine passport controls]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalControlStatus
Context triple: [Germany–Netherlands border crossings, typicalControlStatus, no routine passport controls]
  • A. controlStatus chosen
    Indicates that one entity has a particular level, state, or condition of control over another entity or process.
  • B. typicalControllerType
    Indicates the usual or most common type of controller associated with, or used to operate, a given entity.
  • C. controlStand
    Indicates that one entity manages, directs, or regulates the operation or behavior of another entity or system.
  • D. typicalServiceStatus
    Indicates the usual or standard operational state or condition that a service is expected to be in under normal circumstances.
  • E. typicalControlLocation
    Indicates the usual or standard physical location from which control or operation of something is exercised.
  • 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_69e29544c29c8190b023606eafe5d36a completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f28c64b87c81908b2966b51d01c4ad completed April 29, 2026, 10:55 p.m.
PD Predicate disambiguation batch_69f1c450aa508190bc9d372a5f6ee47a completed April 29, 2026, 8:41 a.m.
Created at: April 18, 2026, 12:06 a.m.