Triple

T7639982
Position Surface form Disambiguated ID Type / Status
Subject University of Rajshahi E172973 entity
Predicate abbreviation P43 FINISHED
Object RU
RU is the commonly used abbreviation for the University of Rajshahi, a major public university in Bangladesh.
E677790 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: RU | Statement: [University of Rajshahi, abbreviation, RU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RU
Context triple: [University of Rajshahi, abbreviation, RU]
  • A. RU
    RU is the common abbreviation for Rutgers University, a major public research institution in New Jersey.
  • B. RU
    RU is the two-letter ISO 3166 country code for the Russian Federation.
  • C. RU
    RU is the common abbreviation for Radboud University Nijmegen, a major research university located in Nijmegen, the Netherlands.
  • D. RU
    RU is the historic vehicle registration code that was used for the English county of Rutland.
  • E. RUS
    RUS is the National Rail station code assigned to Russell Square station in London.
  • 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: RU
Triple: [University of Rajshahi, abbreviation, RU]
Generated description
RU is the commonly used abbreviation for the University of Rajshahi, a major public university in Bangladesh.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: RU
Target entity description: RU is the commonly used abbreviation for the University of Rajshahi, a major public university in Bangladesh.
  • A. RU
    RU is the common abbreviation for Rutgers University, a major public research institution in New Jersey.
  • B. RU
    RU is the two-letter ISO 3166 country code for the Russian Federation.
  • C. RU
    RU is the common abbreviation for Radboud University Nijmegen, a major research university located in Nijmegen, the Netherlands.
  • D. RU
    RU is the historic vehicle registration code that was used for the English county of Rutland.
  • E. RUS
    RUS is the National Rail station code assigned to Russell Square station in London.
  • 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_69c69952849881908fdcea7a93bfc307 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6facc4b5481908697e662b0991e3f completed March 27, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870cd11648190b9aeedadb7bc1981 completed March 29, 2026, 12:22 a.m.
NEDg Description generation batch_69c872a531e08190b7488f576dcd7de4 completed March 29, 2026, 12:30 a.m.
NED2 Entity disambiguation (via description) batch_69c873846a188190a3a1cc56ac247fb0 completed March 29, 2026, 12:34 a.m.
Created at: March 27, 2026, 3:57 p.m.