Triple

T20508340
Position Surface form Disambiguated ID Type / Status
Subject MYNN E503491 entity
Predicate USCustomsPreclearance P6088 FINISHED
Object yes 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: yes | Statement: [MYNN, USCustomsPreclearance, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: USCustomsPreclearance
Context triple: [MYNN, USCustomsPreclearance, yes]
  • A. hasCustomsAndImmigration
    Indicates that customs and immigration control services are present or provided at a given location or facility.
  • B. customsClearance
    Indicates the process by which goods or shipments are reviewed, processed, and officially approved by customs authorities for entry into or exit from a country.
  • C. hasUSCustomsFacilities chosen
    Indicates that a location or facility is equipped with official United States Customs services for processing people or goods entering from abroad.
  • D. hasCustomsCheckpoint
    Indicates that a location or route includes an official customs inspection point where goods, vehicles, or people are checked for compliance with border regulations.
  • E. supportsCustomsClearance
    Indicates that one entity provides or enables customs clearance services or processes for another entity or shipment.
  • 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_69e0b4b1e52c8190894281cf7e3283ab completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69dc8f3c881908ed2e0257a057e73 completed April 20, 2026, 9:42 p.m.
PD Predicate disambiguation batch_69e59fdb7ad88190924176c32a195db3 completed April 20, 2026, 3:39 a.m.
Created at: April 16, 2026, 11:36 a.m.