Triple

T25675117
Position Surface form Disambiguated ID Type / Status
Subject Basirhat subdivision E643782 entity
Predicate hasBorderIssue P105640 FINISHED
Object cross-border movement and smuggling concerns 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: cross-border movement and smuggling concerns | Statement: [Basirhat subdivision, hasBorderIssue, cross-border movement and smuggling concerns]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBorderIssue
Context triple: [Basirhat subdivision, hasBorderIssue, cross-border movement and smuggling concerns]
  • A. borderIssue chosen
    Indicates a dispute, conflict, or problem related to the definition, control, or management of a boundary between two or more entities.
  • B. hasBorderThrough
    Indicates that a border between two regions or entities passes through or along a specified intermediate area, feature, or object.
  • C. hasBorderConflictWith
    Indicates a relationship where two entities share a disputed boundary or are involved in an ongoing or historical conflict over their common border.
  • D. hasBorderWithinCountry
    Indicates that one region or area shares an internal boundary with another region or area within the same country.
  • E. hadBorder
    Indicates that one entity shared a common boundary or frontier with another entity during a specified time period.
  • 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_69e77e7f69808190ad27df1006f6037a completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f62d89b89c8190afb372a8172111e7 completed May 2, 2026, 4:59 p.m.
PD Predicate disambiguation batch_69f62c1379f08190836c3e02b0c892df completed May 2, 2026, 4:53 p.m.
Created at: April 21, 2026, 7:36 p.m.