Triple

T21326773
Position Surface form Disambiguated ID Type / Status
Subject Lendu people E525778 entity
Predicate region P40 FINISHED
Object Ituri 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: Ituri | Statement: [Lendu people, region, Ituri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ituri
Context triple: [Lendu people, region, Ituri]
  • A. Ituri Province chosen
    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.
  • B. Butembo
    Butembo is a major commercial city in eastern Democratic Republic of the Congo, known as a trading hub and economic center in North Kivu.
  • C. Ituri Rainforest
    The Ituri Rainforest is a vast tropical rainforest in northeastern Democratic Republic of the Congo, renowned for its rich biodiversity, dense canopy, and indigenous Mbuti (Pygmy) communities.
  • D. Goma
    Goma is a city in eastern Democratic Republic of the Congo on the northern shore of Lake Kivu, known as a gateway to Virunga National Park and for its proximity to the active Nyiragongo volcano.
  • E. Kivu region
    The Kivu region is an area in eastern Democratic Republic of the Congo known for its dense population, recurring conflict, and vulnerability to outbreaks such as Ebola.
  • 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_69e0b51b90788190a4dd823d962626da completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7ab4a796081908148ec9106362d3d completed April 21, 2026, 4:52 p.m.
Created at: April 16, 2026, 4:41 p.m.