Triple

T12577263
Position Surface form Disambiguated ID Type / Status
Subject University of East Anglia E300240 entity
Predicate abbreviation P43 FINISHED
Object UEA
UEA is a public research university in Norwich, England, known for its strengths in environmental sciences, creative writing, and interdisciplinary studies.
 E989847 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: UEA | Statement: [University of East Anglia, abbreviation, UEA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UEA
Context triple: [University of East Anglia, abbreviation, UEA]
  • A. UEA
    UEA is the World Esperanto Association, the leading international organization dedicated to promoting and coordinating the global Esperanto movement.
  • B. Uea
    Uea is one of the small outlying islets associated with the Polynesian island of Rotuma in Fiji.
  • C. UCA
    UCA is the Unicode Collation Algorithm, a Unicode standard that defines a language-independent method for ordering and comparing Unicode text.
  • D. UCA
    UCA is a public university located in Conway, Arkansas, known for its comprehensive undergraduate and graduate programs and strong emphasis on teacher education and the liberal arts.
  • E. UCA
    UCA is a Jesuit-run Central American University in Managua, Nicaragua, known for its strong emphasis on social justice, human rights, and critical scholarship.
  • 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: UEA
Triple: [University of East Anglia, abbreviation, UEA]
Generated description
UEA is a public research university in Norwich, England, known for its strengths in environmental sciences, creative writing, and interdisciplinary studies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UEA
Target entity description: UEA is a public research university in Norwich, England, known for its strengths in environmental sciences, creative writing, and interdisciplinary studies.
  • A. UEA
    UEA is the World Esperanto Association, the leading international organization dedicated to promoting and coordinating the global Esperanto movement.
  • B. Uea
    Uea is one of the small outlying islets associated with the Polynesian island of Rotuma in Fiji.
  • C. UCA
    UCA is a Spanish public university based in Cádiz, known for its programs in marine sciences, engineering, and humanities.
  • D. UCA
    UCA is the Unicode Collation Algorithm, a Unicode standard that defines a language-independent method for ordering and comparing Unicode text.
  • E. UCA
    UCA is a Jesuit-run Central American University in Managua, Nicaragua, known for its strong emphasis on social justice, human rights, and critical scholarship.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954a73c148190bba8f16b1232fd46 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65599a9c0819086233fb2c622d243 completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f657299e54819093c9c2a6fa80f2eb completed May 2, 2026, 7:57 p.m.
NED2 Entity disambiguation (via description) batch_69f657f1ced08190a588642c7fa5efdd completed May 2, 2026, 8 p.m.
Created at: April 9, 2026, 4:53 p.m.