Triple

T3912014
Position Surface form Disambiguated ID Type / Status
Subject Bayero University Kano E87343 entity
Predicate abbreviation P43 FINISHED
Object BUK
BUK is a major Nigerian federal university located in Kano, known for its wide range of academic programs and research activities.
E398435 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: BUK | Statement: [Bayero University Kano, abbreviation, BUK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BUK
Context triple: [Bayero University Kano, abbreviation, BUK]
  • A. Buc
    Buc is a commune in the Yvelines department of north-central France, located southwest of Paris near Versailles.
  • B. BUQ
    BUQ is the IATA airport code for Joshua Mqabuko Nkomo International Airport serving Bulawayo, Zimbabwe.
  • C. BOK
    BOK is the commonly used abbreviation for the Bank of Korea, South Korea’s central bank responsible for monetary policy and financial stability.
  • D. BUC
    BUC is the abbreviated team tag used to represent Bucks Gaming, the NBA 2K League affiliate of the Milwaukee Bucks.
  • E. BUD
    BUD is the IATA airport code for Budapest Ferenc Liszt International Airport, the main international gateway to Hungary’s capital city.
  • 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: BUK
Triple: [Bayero University Kano, abbreviation, BUK]
Generated description
BUK is a major Nigerian federal university located in Kano, known for its wide range of academic programs and research activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BUK
Target entity description: BUK is a major Nigerian federal university located in Kano, known for its wide range of academic programs and research activities.
  • A. Buc
    Buc is a commune in the Yvelines department of north-central France, located southwest of Paris near Versailles.
  • B. BUQ
    BUQ is the IATA airport code for Joshua Mqabuko Nkomo International Airport serving Bulawayo, Zimbabwe.
  • C. BOK
    BOK is the commonly used abbreviation for the Bank of Korea, South Korea’s central bank responsible for monetary policy and financial stability.
  • D. BUC
    BUC is the abbreviated team tag used to represent Bucks Gaming, the NBA 2K League affiliate of the Milwaukee Bucks.
  • E. BUD
    BUD is the IATA airport code for Budapest Ferenc Liszt International Airport, the main international gateway to Hungary’s capital city.
  • 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_69aed9424514819086e9c58adde6652d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed35e2d081908b5d87c7630e7ffc completed March 9, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51cb454c48190bf47d080f6cc24f0 completed March 14, 2026, 8:30 a.m.
NEDg Description generation batch_69b5206dfd848190ae7aaa9997150934 completed March 14, 2026, 8:46 a.m.
NED2 Entity disambiguation (via description) batch_69b520ce6af481909b7824c2ec221331 completed March 14, 2026, 8:48 a.m.
Created at: March 9, 2026, 3:22 p.m.