Triple

T12602953
Position Surface form Disambiguated ID Type / Status
Subject Zone L (Guthrie classification) E300903 entity
Predicate hasCentralLanguage P83252 FINISHED
Object Luba-Kasai E300901 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: Luba-Kasai | Statement: [Zone L (Guthrie classification), hasCentralLanguage, Luba-Kasai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luba-Kasai
Context triple: [Zone L (Guthrie classification), hasCentralLanguage, Luba-Kasai]
  • A. Luba-Kasai chosen
    Luba-Kasai is a Bantu language spoken primarily in the Kasai region of the Democratic Republic of the Congo by the Luba people.
  • B. Kongolo
    Kongolo is a town in the Tanganyika Province of the Democratic Republic of the Congo, situated along the Lukuga River and serving as a local transport and trading hub.
  • C. Kongō
    Kongō was a Japanese Kongō-class fast battleship that served prominently in the Imperial Japanese Navy during World War II.
  • D. Katanga
    Katanga is a mineral-rich region in the southeastern part of the Democratic Republic of the Congo, historically known for its attempted secession in the early 1960s and significant role in the country’s political conflicts.
  • E. Middle Congo
    Middle Congo was a former French colonial territory in Central Africa that later became the independent Republic of the Congo (Congo-Brazzaville).
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d960c2e5b88190a7cc16002b218d8a completed April 10, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c6ddfdc81908df8baa701ed1fbf completed May 2, 2026, 10:36 p.m.
Created at: April 9, 2026, 5:10 p.m.