Triple

T23257871
Position Surface form Disambiguated ID Type / Status
Subject Hinga Norman E581919 entity
Predicate placeOfDeath P21 FINISHED
Object Senegal 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: Senegal | Statement: [Hinga Norman, placeOfDeath, Senegal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Senegal
Context triple: [Hinga Norman, placeOfDeath, Senegal]
  • A. Senegal chosen
    Senegal is a West African country on the Atlantic coast known for its vibrant culture, historic role in transatlantic trade, and diverse coastal and Sahelian landscapes.
  • B. The Gambia
    The Gambia is a small West African country centered around the Gambia River, known for its diverse ecosystems, colonial history, and tourism-focused economy.
  • C. Senegambia
    Senegambia is a historical region in West Africa encompassing present-day Senegal and The Gambia, known for its rich cultural diversity, early Islamic influence, and role in trans-Saharan and Atlantic trade.
  • D. Mali
    Mali is a village located on the island of New Ireland in Papua New Guinea.
  • E. Mali
    Mali is a landlocked West African country known for its historic trading cities like Timbuktu, rich Sahelian culture, and significant role in the ancient Mali Empire.
  • 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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f194c5f5bc8190ac8776f7f7430209 completed April 29, 2026, 5:19 a.m.
Created at: April 17, 2026, 4:11 p.m.