Triple

T19857980
Position Surface form Disambiguated ID Type / Status
Subject Tshopo Province E477183 entity
Predicate hasTransportHub P2413 FINISHED
Object Kisangani river port 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: Kisangani river port | Statement: [Tshopo Province, hasTransportHub, Kisangani river port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kisangani river port
Context triple: [Tshopo Province, hasTransportHub, Kisangani river port]
  • A. Port of Matadi
    The Port of Matadi is a major seaport on the Congo River in the Democratic Republic of the Congo, serving as a key gateway for the country’s international maritime trade.
  • B. Port of Boma
    The Port of Boma is a key maritime gateway on the Congo River in the Democratic Republic of the Congo, serving regional trade and transport in Kongo Central Province.
  • C. Port of Muanda
    The Port of Muanda is a coastal seaport in the Democratic Republic of the Congo that serves as a key maritime outlet near the Atlantic terminus of the Congo River.
  • D. Kisangani chosen
    Kisangani is a major city in northeastern Democratic Republic of the Congo, known as a key inland port and commercial center in the central African rainforest region.
  • E. Kikwit
    Kikwit is a city in southwestern Democratic Republic of the Congo known internationally as the site of a major Ebola virus outbreak in 1995.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6586dbbf0819089e7157d416aeaaf completed April 20, 2026, 4:46 p.m.
Created at: April 10, 2026, 1:51 p.m.