Triple

T12154613
Position Surface form Disambiguated ID Type / Status
Subject Gulf of Guinea Commission E289542 entity
Predicate hasMember P10 FINISHED
Object Congo E45036 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: Congo | Statement: [Gulf of Guinea Commission, hasMember, Congo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Congo
Context triple: [Gulf of Guinea Commission, hasMember, Congo]
  • A. Congo chosen
    Congo is a Central African country whose economy is heavily reliant on oil production and exports.
  • B. Kongō
    Kongō was a Japanese Kongō-class fast battleship that served prominently in the Imperial Japanese Navy during World War II.
  • C. 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.
  • D. Congo River
    The Congo River is Africa’s second-longest river and the world’s deepest, flowing through central Africa to the Atlantic Ocean and serving as a major waterway for transport, ecology, and regional economies.
  • E. 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.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915bf615c8190ad5f8ae8665678dc completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65556e718819092736cd89c326fb5 completed May 2, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:50 p.m.