Triple

T5375822
Position Surface form Disambiguated ID Type / Status
Subject Ituri Province E108956 entity
Predicate borders P224 FINISHED
Object Tshopo Province E477183 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: Tshopo Province | Statement: [Ituri Province, borders, Tshopo Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tshopo Province
Context triple: [Ituri Province, borders, Tshopo Province]
  • A. Tshopo Province chosen
    Tshopo Province is a large, centrally located province in the Democratic Republic of the Congo, known for its vast rainforest areas and the city of Kisangani as its capital.
  • B. Ngounié Province
    Ngounié Province is an inland administrative region in southwestern Gabon known for its forests, rivers, and ethnolinguistic diversity.
  • C. Bas-Uélé Province
    Bas-Uélé Province is a sparsely populated, forested province in the northern Democratic Republic of the Congo, bordering the Central African Republic and known for its remote rural communities and biodiversity.
  • D. Loja Province
    Loja Province is a region in southern Ecuador known for its mountainous landscapes, cultural heritage, and the city of Loja, a historic center of music and the arts.
  • E. Niassa Province
    Niassa Province is a vast, sparsely populated region in northern Mozambique known for its extensive wilderness areas and rich cultural diversity.
  • 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_69bd440c77948190aad2a5f39b7b80f5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd86aed2a8819089d9e699f53563db completed March 20, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf334fb498819089a33be56fa47a01 completed March 22, 2026, 12:09 a.m.
Created at: March 20, 2026, 2:03 p.m.