Triple

T5914901
Position Surface form Disambiguated ID Type / Status
Subject Canada–United States border E131553 entity
Predicate hasBorderCrossings P4105 FINISHED
Object land ports of entry 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: land ports of entry | Statement: [Canada–United States border, hasBorderCrossings, land ports of entry]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBorderCrossings
Context triple: [Canada–United States border, hasBorderCrossings, land ports of entry]
  • A. hasBorderCrossing chosen
    Indicates that there exists a point or facility where movement or transit is possible between the boundaries of two adjacent regions or jurisdictions.
  • B. hasBorderCrossingFunction
    Indicates that an entity serves as a location or facility where people, goods, or vehicles can legally cross a border between jurisdictions.
  • C. hasRailBorderCrossing
    Indicates that two places are connected by at least one official border crossing that is served by rail transport.
  • D. hasBorderPostWith
    Indicates that two regions or territories share a border where an official border post or checkpoint is located between them.
  • E. crossesBorderOf
    Indicates that one entity passes from one side of the boundary of another entity (typically a region or area) to the other side, traversing its border.
  • 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_69c008593a44819081a07ae0efe6c574 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c048fc112c8190b905bf561c9de096 completed March 22, 2026, 7:54 p.m.
PD Predicate disambiguation batch_69c03352208c8190968efed05a9fd416 completed March 22, 2026, 6:22 p.m.
Created at: March 22, 2026, 3:59 p.m.