Triple

T11580479
Position Surface form Disambiguated ID Type / Status
Subject Borgu region E274612 entity
Predicate hasPart P35 FINISHED
Object Kishi
Kishi is a locality within Nigeria’s Borgu region, known for its role in the area’s cultural and economic life.
 E936894 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: Kishi | Statement: [Borgu region, hasPart, Kishi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kishi
Context triple: [Borgu region, hasPart, Kishi]
  • A. Kishi
    Kishi is a Japanese surname borne by various notable figures in politics, arts, and entertainment.
  • B. Takeo
    Takeo is a Japanese given name commonly used for males and borne by various notable figures in fields such as politics, business, and the arts.
  • C. Wakatoshi
    Wakatoshi is a fictional volleyball player from the manga and anime series "Haikyuu!!", known as the powerful ace and captain of Shiratorizawa Academy.
  • D. Takayoshi
    Takayoshi is a Japanese given name notably borne by Kido Takayoshi, a key samurai and statesman of the Meiji Restoration.
  • E. Kiichi
    Kiichi is a Japanese given name commonly used for males.
  • 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: Kishi
Triple: [Borgu region, hasPart, Kishi]
Generated description
Kishi is a locality within Nigeria’s Borgu region, known for its role in the area’s cultural and economic life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kishi
Target entity description: Kishi is a locality within Nigeria’s Borgu region, known for its role in the area’s cultural and economic life.
  • A. Kishi
    Kishi is a Japanese surname borne by various notable figures in politics, arts, and entertainment.
  • B. Takeo
    Takeo is a Japanese given name commonly used for males and borne by various notable figures in fields such as politics, business, and the arts.
  • C. Wakatoshi
    Wakatoshi is a fictional volleyball player from the manga and anime series "Haikyuu!!", known as the powerful ace and captain of Shiratorizawa Academy.
  • D. Takayoshi
    Takayoshi is a Japanese given name notably borne by Kido Takayoshi, a key samurai and statesman of the Meiji Restoration.
  • E. Kiichi
    Kiichi is a Japanese given name commonly used for males.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8904c51b881909e7be84c6f3de79f completed April 10, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee86cbd7988190a4960c5abbbf03a2 completed April 26, 2026, 9:42 p.m.
NEDg Description generation batch_69ee9cf1cb2481908bc473c87bc42d60 completed April 26, 2026, 11:17 p.m.
NED2 Entity disambiguation (via description) batch_69eecd31894481908dbd55f605c693f9 completed April 27, 2026, 2:42 a.m.
Created at: April 8, 2026, 9:38 p.m.