Triple

T6983043
Position Surface form Disambiguated ID Type / Status
Subject Matadi E161892 entity
Predicate locatedInRegion P40 FINISHED
Object Lower Congo region E307333 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: Lower Congo region | Statement: [Matadi, locatedInRegion, Lower Congo region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lower Congo region
Context triple: [Matadi, locatedInRegion, Lower Congo region]
  • A. Lower Congo region chosen
    The Lower Congo region is a coastal and riverine area in western Democratic Republic of the Congo, encompassing the lower reaches of the Congo River and including towns such as Muanda.
  • B. Middle Congo
    Middle Congo was a former French colonial territory in Central Africa that later became the independent Republic of the Congo (Congo-Brazzaville).
  • C. Luba-Kasai
    Luba-Kasai is a Bantu language spoken primarily in the Kasai region of the Democratic Republic of the Congo by the Luba people.
  • D. south-central Democratic Republic of the Congo
    South-central Democratic Republic of the Congo is a region of the country known for being a major cultural and linguistic center, particularly associated with the Tshiluba-speaking population.
  • E. Congo
    Congo is a Central African country whose economy is heavily reliant on oil production and exports.
  • 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_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db8fdad481908f211a8b333714bd completed March 27, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c761c671588190a4e7b5c26cdfe6ba completed March 28, 2026, 5:06 a.m.
Created at: March 27, 2026, 2:31 p.m.