Triple

T24305149
Position Surface form Disambiguated ID Type / Status
Subject South Sudan–Democratic Republic of the Congo border E612512 entity
Predicate formerColonialPowers P130899 FINISHED
Object United Kingdom 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: United Kingdom | Statement: [South Sudan–Democratic Republic of the Congo border, formerColonialPowers, United Kingdom]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formerColonialPowers
Context triple: [South Sudan–Democratic Republic of the Congo border, formerColonialPowers, United Kingdom]
  • A. wasColonialPower
    Indicates that one entity historically exercised colonial control or dominance over another entity.
  • B. colonialPowerAfter
    Indicates that one entity became the colonial ruler of another entity after a specified time or event, succeeding a previous colonial authority.
  • C. imperialPossessions
    Indicates that one entity holds colonial or territorial control over another as part of its empire.
  • D. colonialPowerInHistory chosen
    Indicates that one entity historically exercised colonial control, dominance, or governance over another entity.
  • E. colonialPowerBefore
    Indicates that one entity served as the colonial ruling power over another entity during an earlier, preceding 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_69e2d7d91bb48190bc5377d17a85fb21 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f2922641bc81908fa3595941e60741 completed April 29, 2026, 11:20 p.m.
PD Predicate disambiguation batch_69f1c45c6ec081908401b69424428100 completed April 29, 2026, 8:42 a.m.
Created at: April 18, 2026, 1:30 a.m.