Triple

T480414
Position Surface form Disambiguated ID Type / Status
Subject Northern Nigeria E9154 entity
Predicate hasMajorCity P316 FINISHED
Object Minna
Minna is a major city and administrative center in north-central Nigeria, known as the capital of Niger State and a regional hub for trade and transportation.
 E63605 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: Minna | Statement: [Northern Nigeria, hasMajorCity, Minna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Minna
Context triple: [Northern Nigeria, hasMajorCity, Minna]
  • A. Hana
    Hana is a compassionate Canadian army nurse in Michael Ondaatje's novel "The English Patient," who cares for a badly burned man in an abandoned Italian villa during World War II.
  • B. Mina
    Mina is a valley and neighborhood near Mecca in Saudi Arabia that serves as a major site for key Hajj rituals, including the symbolic stoning of the devil.
  • C. Shōda
    Shōda is a Japanese surname notably borne by Michiko Shōda, who became Empress Michiko of Japan.
  • D. Mori
    Mori is a Japanese surname shared by various notable individuals across fields such as entertainment, sports, and politics.
  • E. Runashimi
    Runashimi is the Indigenous Kichwa (Quechua) language spoken primarily in the Andean regions of South America.
  • 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: Minna
Triple: [Northern Nigeria, hasMajorCity, Minna]
Generated description
Minna is a major city and administrative center in north-central Nigeria, known as the capital of Niger State and a regional hub for trade and transportation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Minna
Target entity description: Minna is a major city and administrative center in north-central Nigeria, known as the capital of Niger State and a regional hub for trade and transportation.
  • A. Hana
    Hana is a compassionate Canadian army nurse in Michael Ondaatje's novel "The English Patient," who cares for a badly burned man in an abandoned Italian villa during World War II.
  • B. Mina
    Mina is a valley and neighborhood near Mecca in Saudi Arabia that serves as a major site for key Hajj rituals, including the symbolic stoning of the devil.
  • C. Shōda
    Shōda is a Japanese surname notably borne by Michiko Shōda, who became Empress Michiko of Japan.
  • D. Mori
    Mori is a Japanese surname shared by various notable individuals across fields such as entertainment, sports, and politics.
  • E. Runashimi
    Runashimi is the Indigenous Kichwa (Quechua) language spoken primarily in the Andean regions of South America.
  • 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_69a2e7ff81708190b0507a24a997232c completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f057c4ac819080cf43ffaa56c350 completed Feb. 28, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69a49eb7b49c819098352f36d020cde7 completed March 1, 2026, 8:16 p.m.
NEDg Description generation batch_69a49f2f2b4c8190b35eb623a28187e6 completed March 1, 2026, 8:18 p.m.
NED2 Entity disambiguation (via description) batch_69a49fcd6d448190a40af17c0a113aed completed March 1, 2026, 8:21 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.