Triple

T14567767
Position Surface form Disambiguated ID Type / Status
Subject Kwara State University E341830 entity
Predicate alsoKnownAs P39 FINISHED
Object KWASU
KWASU is a Nigerian state-owned university located in Malete, Kwara State, known for its focus on entrepreneurship, community development, and research-driven education.
 E1106791 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: KWASU | Statement: [Kwara State University, alsoKnownAs, KWASU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KWASU
Context triple: [Kwara State University, alsoKnownAs, KWASU]
  • A. KWA
    KWA is the IATA airport code for Bucholz Army Airfield, a joint military and civilian airfield on Kwajalein Atoll in the Marshall Islands.
  • B. Kwayo
    Kwayo is an alternative name for the Kwaio language, an Austronesian language spoken by the Kwaio people of Malaita in the Solomon Islands.
  • C. Kwandi
    Kwandi is a regional dialect of the Silozi language spoken by communities in parts of southern Africa.
  • D. Kwali
    Kwali is a local government area and town in Nigeria’s Federal Capital Territory, known for its traditional pottery and proximity to Abuja.
  • E. Kwatta
    Kwatta is a settlement located in the Wanica District of Suriname, known primarily as a suburban and agricultural area near the capital, Paramaribo.
  • 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: KWASU
Triple: [Kwara State University, alsoKnownAs, KWASU]
Generated description
KWASU is a Nigerian state-owned university located in Malete, Kwara State, known for its focus on entrepreneurship, community development, and research-driven education.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KWASU
Target entity description: KWASU is a Nigerian state-owned university located in Malete, Kwara State, known for its focus on entrepreneurship, community development, and research-driven education.
  • A. KWA
    KWA is the IATA airport code for Bucholz Army Airfield, a joint military and civilian airfield on Kwajalein Atoll in the Marshall Islands.
  • B. Kwayo
    Kwayo is an alternative name for the Kwaio language, an Austronesian language spoken by the Kwaio people of Malaita in the Solomon Islands.
  • C. Kwandi
    Kwandi is a regional dialect of the Silozi language spoken by communities in parts of southern Africa.
  • D. Kwali
    Kwali is a local government area and town in Nigeria’s Federal Capital Territory, known for its traditional pottery and proximity to Abuja.
  • E. Kwatta
    Kwatta is a settlement located in the Wanica District of Suriname, known primarily as a suburban and agricultural area near the capital, Paramaribo.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb38d89fc819086709fd3607b835f completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ac669cc819083e05620b1e8c370 completed May 8, 2026, 7:03 a.m.
NEDg Description generation batch_69fd8c5b09448190ad084746a6dd23f5 completed May 8, 2026, 7:10 a.m.
NED2 Entity disambiguation (via description) batch_69fd8d609684819090a9c3f2304f4a6a completed May 8, 2026, 7:14 a.m.
Created at: April 10, 2026, 1:23 a.m.