Triple

T19156880
Position Surface form Disambiguated ID Type / Status
Subject Équateur Province E468948 entity
Predicate capital P234 FINISHED
Object Mbandaka 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: Mbandaka | Statement: [Équateur Province, capital, Mbandaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mbandaka
Context triple: [Équateur Province, capital, Mbandaka]
  • A. Mbandaka chosen
    Mbandaka is a city in the northwestern Democratic Republic of the Congo, located on the Congo River and serving as a regional commercial and administrative center.
  • B. Pointe-Noire
    Pointe-Noire is a major port city on the Atlantic coast of the Republic of the Congo and one of the country’s principal economic and industrial centers.
  • C. GOMA
    GOMA is a contemporary art museum known for showcasing modern and experimental artworks, often associated with major cultural institutions in cities like Brisbane and Glasgow.
  • D. Lubumbashi
    Lubumbashi is the second-largest city in the Democratic Republic of the Congo and a major mining and commercial center in the southeastern part of the country.
  • E. Luanda
    Luanda is the capital and largest city of Angola, a major Atlantic port and economic hub with a history shaped by Portuguese colonial rule and the transatlantic slave trade.
  • 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5eeb9cf9081908b17073755e83554 completed April 20, 2026, 9:15 a.m.
Created at: April 10, 2026, 12:06 p.m.