Triple

T2741817
Position Surface form Disambiguated ID Type / Status
Subject Palo Monte E60767 entity
Predicate hasOrigin P26 FINISHED
Object Kongo region E153802 NE 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: Kongo region | Statement: [Palo Monte, hasOrigin, Kongo region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kongo region
Context triple: [Palo Monte, hasOrigin, Kongo region]
  • A. Kongo Central Province chosen
    Kongo Central Province is a coastal region in western Democratic Republic of the Congo known for its Atlantic shoreline, key ports, and role as a major gateway for the country’s maritime trade.
  • B. Kagera Region
    Kagera Region is a northwestern region of Tanzania bordering Lake Victoria and several East African countries, known for its diverse ethnic groups, agriculture, and historical significance.
  • C. Ubangi-Shari territory
    Ubangi-Shari territory was a French colonial territory in central Africa that later became the modern nation of the Central African Republic.
  • D. Ituri Province
    Ituri Province is a conflict-affected region in northeastern Democratic Republic of the Congo known for its ethnic tensions, rich natural resources, and vulnerability to public health crises.
  • E. South Kivu
    South Kivu is a conflict-affected province in the eastern Democratic Republic of the Congo, known for its ethnic tensions, mineral wealth, and presence of numerous armed groups.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ab4b77febc819095603eb012cd141b completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb303898819098a7d192e29817f8 completed March 7, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbca8ac081909ce86d4cd911b4f1 completed March 10, 2026, 6:35 a.m.
Created at: March 6, 2026, 9:56 p.m.