Triple

T11580085
Position Surface form Disambiguated ID Type / Status
Subject Tai Solarin University of Education E274601 entity
Predicate abbreviation P43 FINISHED
Object TASUED
TASUED is a specialized Nigerian university focused on training professional educators and advancing research in education.
 E934653 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: TASUED | Statement: [Tai Solarin University of Education, abbreviation, TASUED]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TASUED
Context triple: [Tai Solarin University of Education, abbreviation, TASUED]
  • A. TAS
    TAS is the commonly used French acronym for the Court of Arbitration for Sport, an international body that settles sports-related disputes through arbitration.
  • B. Tamu
    Tamu is a town in northwestern Myanmar’s Sagaing Region, situated near the India–Myanmar border and serving as an important cross-border trade and transit point.
  • C. Tappitt
    Tappitt is a surname associated with the individual referred to as Mr. Tappitt.
  • D. TUW
    TUW is the commonly used abbreviation for the Vienna University of Technology, a major technical and scientific research university in Vienna, Austria.
  • E. TUS
    TUS is the three-letter IATA airport code for Tucson International Airport, the primary commercial airport serving Tucson, Arizona.
  • 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: TASUED
Triple: [Tai Solarin University of Education, abbreviation, TASUED]
Generated description
TASUED is a specialized Nigerian university focused on training professional educators and advancing research in education.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TASUED
Target entity description: TASUED is a specialized Nigerian university focused on training professional educators and advancing research in education.
  • A. TAS
    TAS is the commonly used French acronym for the Court of Arbitration for Sport, an international body that settles sports-related disputes through arbitration.
  • B. Tamu
    Tamu is a town in northwestern Myanmar’s Sagaing Region, situated near the India–Myanmar border and serving as an important cross-border trade and transit point.
  • C. Tappitt
    Tappitt is a surname associated with the individual referred to as Mr. Tappitt.
  • D. TUW
    TUW is the commonly used abbreviation for the Vienna University of Technology, a major technical and scientific research university in Vienna, Austria.
  • E. TUS
    TUS is the three-letter IATA airport code for Tucson International Airport, the primary commercial airport serving Tucson, Arizona.
  • 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_69e7141b16d8819099002a009260a85a completed April 21, 2026, 6:07 a.m.
NEDg Description generation batch_69e720f9a8588190aa766d2e1628207a completed April 21, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69e72315dda08190996aa84587c5fc80 completed April 21, 2026, 7:11 a.m.
Created at: April 8, 2026, 9:38 p.m.