Triple

T37937712
Position Surface form Disambiguated ID Type / Status
Subject Nakop border post E946393 entity
Predicate hasBorderPartnerPost P39987 FINISHED
Object Ariamsvlei border post NE NERFINISHED

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: Ariamsvlei border post | Statement: [Nakop border post, hasBorderPartnerPost, Ariamsvlei border post]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBorderPartnerPost
Context triple: [Nakop border post, hasBorderPartnerPost, Ariamsvlei border post]
  • A. hasBorderPostWith chosen
    Indicates that two regions or territories share a border where an official border post or checkpoint is located between them.
  • B. connectsToBorderPost
    Indicates that one entity is linked or leads directly to a border post, establishing a route or connection between them.
  • C. crossBorderPartner
    Indicates a partnership relationship between entities that operate across national or jurisdictional borders.
  • D. hasBorderRelation
    Indicates that one entity shares a boundary or border with another entity.
  • E. hasBorderWithinCountry
    Indicates that one region or area shares an internal boundary with another region or area within the same country.
  • 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_69f76ef531ac8190ae6d99e5786e76ec completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fe9fb9735c8190a360b556c9d00b3f completed May 9, 2026, 2:45 a.m.
PD Predicate disambiguation batch_69fe9eaa88008190a9b2a469dc685002 completed May 9, 2026, 2:40 a.m.
Created at: May 3, 2026, 4:20 p.m.