Triple

T15324167
Position Surface form Disambiguated ID Type / Status
Subject Universiti Brunei Darussalam E366366 entity
Predicate abbreviation P43 FINISHED
Object UBD
UBD is a leading national research university in Brunei known for its programs in science, technology, humanities, and Islamic studies.
 E1150215 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: UBD | Statement: [Universiti Brunei Darussalam, abbreviation, UBD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UBD
Context triple: [Universiti Brunei Darussalam, abbreviation, UBD]
  • A. UbU
    UbU is the commonly used abbreviation for the Swedish Riksdag’s Committee on Education, which handles national education and research policy matters.
  • B. UBN
    UBN is the IATA airport code for the new Chinggis Khaan International Airport serving Ulaanbaatar, Mongolia.
  • C. UB
    UB is the commonly used abbreviation for the University at Buffalo, a major public research university in the State University of New York (SUNY) system.
  • D. UB
    UB is a postcode area in the United Kingdom covering parts of west London and nearby areas.
  • E. UB
    UB is a major public research university in Romania’s capital, known for its wide range of academic programs and significant contribution to higher education and research in Eastern Europe.
  • 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: UBD
Triple: [Universiti Brunei Darussalam, abbreviation, UBD]
Generated description
UBD is a leading national research university in Brunei known for its programs in science, technology, humanities, and Islamic studies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UBD
Target entity description: UBD is a leading national research university in Brunei known for its programs in science, technology, humanities, and Islamic studies.
  • A. UbU
    UbU is the commonly used abbreviation for the Swedish Riksdag’s Committee on Education, which handles national education and research policy matters.
  • B. UBN
    UBN is the IATA airport code for the new Chinggis Khaan International Airport serving Ulaanbaatar, Mongolia.
  • C. UB
    UB is the commonly used abbreviation for the University at Buffalo, a major public research university in the State University of New York (SUNY) system.
  • D. UB
    UB is the commonly used abbreviation for the University of Barcelona, a major public research university located in Barcelona, Spain.
  • E. UB
    UB is a major public research university in Romania’s capital, known for its wide range of academic programs and significant contribution to higher education and research in Eastern Europe.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03dd5ce0c819093c9a14de549dff6 completed April 16, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8aaef608190bd3ec9fdd215afbb completed May 9, 2026, 9:04 a.m.
NEDg Description generation batch_69fefa435efc81908c1e88267e745cdd completed May 9, 2026, 9:11 a.m.
NED2 Entity disambiguation (via description) batch_69fefb2ee9108190b3d8633cc9713c7b completed May 9, 2026, 9:15 a.m.
Created at: April 10, 2026, 3:16 a.m.