Triple

T3213495
Position Surface form Disambiguated ID Type / Status
Subject Rivers State University E67335 entity
Predicate shortName P43 FINISHED
Object RSU
RSU is the commonly used abbreviation for Rivers State University, a public institution of higher learning located in Port Harcourt, Nigeria.
 E338069 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: RSU | Statement: [Rivers State University, shortName, RSU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RSU
Context triple: [Rivers State University, shortName, RSU]
  • A. RSM
    RSM is the international vehicle registration code used on license plates for vehicles registered in San Marino.
  • B. RSM
    RSM is the abbreviation commonly used for the Royal Schools of Music, a group of prestigious UK conservatoires known for their music education and examination programs.
  • C. RSM
    RSM is the acronym for the NATO-led Resolute Support Mission in Afghanistan, focused on training, advising, and assisting Afghan security forces after the end of NATO’s combat operations.
  • D. RS
    RS is a sporty, performance-oriented trim level of the Chevrolet Trailblazer that features distinctive styling and upgraded features.
  • E. RSL
    RSL is the shading language used in Pixar's RenderMan system to define the appearance of surfaces, lights, and volumes in high-end computer graphics rendering.
  • 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: RSU
Triple: [Rivers State University, shortName, RSU]
Generated description
RSU is the commonly used abbreviation for Rivers State University, a public institution of higher learning located in Port Harcourt, Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RSU
Target entity description: RSU is the commonly used abbreviation for Rivers State University, a public institution of higher learning located in Port Harcourt, Nigeria.
  • A. RSM
    RSM is the international vehicle registration code used on license plates for vehicles registered in San Marino.
  • B. RSM
    RSM is the abbreviation commonly used for the Royal Schools of Music, a group of prestigious UK conservatoires known for their music education and examination programs.
  • C. RSM
    RSM is the acronym for the NATO-led Resolute Support Mission in Afghanistan, focused on training, advising, and assisting Afghan security forces after the end of NATO’s combat operations.
  • D. RS
    RS is a sporty, performance-oriented trim level of the Chevrolet Trailblazer that features distinctive styling and upgraded features.
  • E. RSL
    RSL is the shading language used in Pixar's RenderMan system to define the appearance of surfaces, lights, and volumes in high-end computer graphics rendering.
  • 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_69ad858ac36c81909962589cd277d6e2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaabba8e481909118d9f888ddcd63 completed March 8, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b26237211c81908cddc4e8d42e497e completed March 12, 2026, 6:50 a.m.
NEDg Description generation batch_69b264c446088190a1651e108279c7ba completed March 12, 2026, 7:01 a.m.
NED2 Entity disambiguation (via description) batch_69b265ef74d081908fe4dd4998dbf240 completed March 12, 2026, 7:06 a.m.
Created at: March 8, 2026, 3:07 p.m.