Triple

T7574776
Position Surface form Disambiguated ID Type / Status
Subject Kalemie E179333 entity
Predicate locatedIn P40 FINISHED
Object Tanganyika Province E499762 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: Tanganyika Province | Statement: [Kalemie, locatedIn, Tanganyika Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tanganyika Province
Context triple: [Kalemie, locatedIn, Tanganyika Province]
  • A. Tanganyika Province chosen
    Tanganyika Province is an administrative region in the southeastern Democratic Republic of the Congo, located along the western shore of Lake Tanganyika and known for its diverse ethnic communities and natural resources.
  • B. Kagera Region
    Kagera Region is a northwestern region of Tanzania bordering Lake Victoria and several East African countries, known for its diverse ethnic groups, agriculture, and historical significance.
  • C. Niassa Province
    Niassa Province is a vast, sparsely populated region in northern Mozambique known for its extensive wilderness areas and rich cultural diversity.
  • D. Tabora Region
    Tabora Region is an inland administrative region in western Tanzania known historically as a key hub for trade and rail transport.
  • E. Tanga Region
    Tanga Region is a coastal administrative region in northeastern Tanzania known for its port city of Tanga, Indian Ocean shoreline, and proximity to the Usambara Mountains.
  • 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_69c69f316e50819081a271c85c06f918 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f94a25148190b5b76e000e0336c4 completed March 27, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c941fcac908190a2e9401f136b5f77 completed March 29, 2026, 3:15 p.m.
Created at: March 27, 2026, 3:51 p.m.