Triple

T18817891
Position Surface form Disambiguated ID Type / Status
Subject Siege of Jadotville E460185 entity
Predicate place P373 FINISHED
Object Katanga 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: Katanga | Statement: [Siege of Jadotville, place, Katanga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katanga
Context triple: [Siege of Jadotville, place, Katanga]
  • A. Katanga chosen
    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.
  • B. Kongo
    Kongo refers to the Central African ethnic and cultural group and historical kingdom whose traditions and beliefs have significantly influenced Afro-diasporic religions in the Americas.
  • C. Kongō
    Kongō was a Japanese Kongō-class fast battleship that served prominently in the Imperial Japanese Navy during World War II.
  • D. Congo
    Congo is a Central African country whose economy is heavily reliant on oil production and exports.
  • E. Loango
    Loango refers to a historical Bakongo subgroup and kingdom located along the Atlantic coast of Central Africa, in what is now primarily the Republic of the Congo.
  • 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a6b7e75c81909bc65cfc61cbe1c6 completed April 20, 2026, 4:08 a.m.
Created at: April 10, 2026, 11:55 a.m.