Triple

T8013113
Position Surface form Disambiguated ID Type / Status
Subject Mae Sot District E186543 entity
Predicate hasCrossBorderInteraction P80566 FINISHED
Object trade 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: trade | Statement: [Mae Sot District, hasCrossBorderInteraction, trade]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCrossBorderInteraction
Context triple: [Mae Sot District, hasCrossBorderInteraction, trade]
  • A. hasCrossBorderManagement
    Indicates that an entity exercises management or control over operations, assets, or activities that extend across national borders.
  • B. haveCrossBorderAgreements
    Indicates that there exist formal agreements or arrangements between entities that operate across national or jurisdictional borders.
  • C. hasBorderCrossing
    Indicates that there exists a point or facility where movement or transit is possible between the boundaries of two adjacent regions or jurisdictions.
  • D. haveMajorCrossBorderOrganization
    Indicates that an entity possesses or is associated with a significant organization that operates across national borders.
  • 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. chosen

Provenance (4 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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3d73bf048190ad8066a7e95c34b0 completed March 31, 2026, 3:20 a.m.
PD Predicate disambiguation batch_69cb048c9f488190b4fb8917a9c21bc5 completed March 30, 2026, 11:17 p.m.
PDg Predicate description generation batch_69cb14bcbbc0819094a98e7ffffb7a40 completed March 31, 2026, 12:26 a.m.
Created at: March 30, 2026, 5:19 p.m.