Triple

T1871312
Position Surface form Disambiguated ID Type / Status
Subject Kanuri E39040 entity
Predicate historicalRegion P915 FINISHED
Object Bornu
Bornu was a prominent historical region in northeastern Nigeria and surrounding areas, known as the core territory of the powerful Kanem-Bornu Empire dominated by the Kanuri people.
E208970 NE FINISHED

How this triple was built (4 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: Bornu | Statement: [Kanuri, historicalRegion, Bornu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bornu
Context triple: [Kanuri, historicalRegion, Bornu]
  • A. Kassala
    Kassala is a city in eastern Sudan near the Eritrean border, known as a regional trade center and for its striking granite hills and cultural diversity.
  • B. Maroua
    Maroua is a prominent city in northern Cameroon known as a regional commercial and cultural center near the Sahel.
  • C. Nasar
    Nasar is a surname most notably associated with Sylvia Nasar, the economist and author of "A Beautiful Mind."
  • D. Sennar State
    Sennar State is a region in southeastern Sudan known for its agricultural economy and historical significance as part of the former Funj Sultanate.
  • E. Garki
    Garki is a prominent administrative and commercial district in Nigeria’s capital city, Abuja, housing numerous government offices, businesses, and residential areas.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bornu
Triple: [Kanuri, historicalRegion, Bornu]
Generated description
Bornu was a prominent historical region in northeastern Nigeria and surrounding areas, known as the core territory of the powerful Kanem-Bornu Empire dominated by the Kanuri people.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bornu
Target entity description: Bornu was a prominent historical region in northeastern Nigeria and surrounding areas, known as the core territory of the powerful Kanem-Bornu Empire dominated by the Kanuri people.
  • A. Kassala
    Kassala is a city in eastern Sudan near the Eritrean border, known as a regional trade center and for its striking granite hills and cultural diversity.
  • B. Maroua
    Maroua is a prominent city in northern Cameroon known as a regional commercial and cultural center near the Sahel.
  • C. Nasar
    Nasar is a surname most notably associated with Sylvia Nasar, the economist and author of "A Beautiful Mind."
  • D. Sennar State
    Sennar State is a region in southeastern Sudan known for its agricultural economy and historical significance as part of the former Funj Sultanate.
  • E. Garki
    Garki is a prominent administrative and commercial district in Nigeria’s capital city, Abuja, housing numerous government offices, businesses, and residential areas.
  • F. None of above. chosen

Provenance (5 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_69a8862f7074819096afe7fe65e179e9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0ba90e08190b990875d6e8e7e4a completed March 7, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1dd2d748190976277ac25f938ee completed March 8, 2026, 7:45 p.m.
NEDg Description generation batch_69add4628ed081908ea939b95e005299 completed March 8, 2026, 7:56 p.m.
NED2 Entity disambiguation (via description) batch_69add4e97dd08190a091d3d265b39138 completed March 8, 2026, 7:58 p.m.
Created at: March 4, 2026, 7:34 p.m.