Triple

T2249498
Position Surface form Disambiguated ID Type / Status
Subject University of Dhaka E49583 entity
Predicate shortName P43 FINISHED
Object DU
DU is the commonly used abbreviation for the University of Dhaka, a leading public research university in Bangladesh.
 E247456 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: DU | Statement: [University of Dhaka, shortName, DU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DU
Context triple: [University of Dhaka, shortName, DU]
  • A. DU
    DU is a premier public central university in India, renowned for its diverse academic programs and large collegiate system based in New Delhi.
  • B. DU
    DU is the vehicle registration code used on license plates for the German city of Duisburg.
  • C. CU
    CU is the two-letter ISO 3166-1 alpha-2 country code assigned to Cuba.
  • D. DUS
    DUS is the three-letter IATA code for Düsseldorf Airport, a major international airport in western Germany.
  • E. BU
    BU is a major private research university in Boston, Massachusetts, known for its diverse academic programs and global student body.
  • 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: DU
Triple: [University of Dhaka, shortName, DU]
Generated description
DU is the commonly used abbreviation for the University of Dhaka, a leading public research university in Bangladesh.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DU
Target entity description: DU is the commonly used abbreviation for the University of Dhaka, a leading public research university in Bangladesh.
  • A. DU
    DU is a premier public central university in India, renowned for its diverse academic programs and large collegiate system based in New Delhi.
  • B. DU
    DU is the vehicle registration code used on license plates for the German city of Duisburg.
  • C. CU
    CU is the two-letter ISO 3166-1 alpha-2 country code assigned to Cuba.
  • D. DUS
    DUS is the three-letter IATA code for Düsseldorf Airport, a major international airport in western Germany.
  • E. BU
    BU is a major private research university in Boston, Massachusetts, known for its diverse academic programs and global student body.
  • 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_69a88aa979788190ad6500f1d8eee2fc completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0ef74988190a0af51d983cf5658 completed March 7, 2026, 6:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b1948cc8190921b9fcc12c28db0 completed March 9, 2026, 6:39 a.m.
NEDg Description generation batch_69ae6b73bb688190bcade17d991c4862 completed March 9, 2026, 6:40 a.m.
NED2 Entity disambiguation (via description) batch_69ae6be4431c81909c9b4ad82226215d completed March 9, 2026, 6:42 a.m.
Created at: March 4, 2026, 7:47 p.m.