Triple

T2322908
Position Surface form Disambiguated ID Type / Status
Subject Central University of Ecuador E48221 entity
Predicate shortName P43 FINISHED
Object UCE
UCE is a major public university in Quito, Ecuador, recognized as one of the country’s oldest and most important higher education institutions.
 E256702 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: UCE | Statement: [Central University of Ecuador, shortName, UCE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UCE
Context triple: [Central University of Ecuador, shortName, UCE]
  • A. UC
    UC is a public university in Canberra, Australia, known for its career-focused programs and strong industry partnerships.
  • B. UC
    UC is a leading Chilean university, widely recognized for its academic excellence and strong influence in education, research, and public policy in Latin America.
  • C. UC
    UC is the final generation of the Holden Torana, a compact Australian car produced in the late 1970s.
  • D. CU
    CU is the two-letter ISO 3166-1 alpha-2 country code assigned to Cuba.
  • E. UME
    UME is Spain’s specialized military emergency unit responsible for rapid response to natural disasters, major accidents, and other civil emergencies.
  • 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: UCE
Triple: [Central University of Ecuador, shortName, UCE]
Generated description
UCE is a major public university in Quito, Ecuador, recognized as one of the country’s oldest and most important higher education institutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UCE
Target entity description: UCE is a major public university in Quito, Ecuador, recognized as one of the country’s oldest and most important higher education institutions.
  • A. UC
    UC is a public university in Canberra, Australia, known for its career-focused programs and strong industry partnerships.
  • B. UC
    UC is a leading Chilean university, widely recognized for its academic excellence and strong influence in education, research, and public policy in Latin America.
  • C. UC
    UC is the final generation of the Holden Torana, a compact Australian car produced in the late 1970s.
  • D. CU
    CU is the two-letter ISO 3166-1 alpha-2 country code assigned to Cuba.
  • E. UME
    UME is Spain’s specialized military emergency unit responsible for rapid response to natural disasters, major accidents, and other civil emergencies.
  • 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_69a88aa308a88190b0b86c011fda7fce completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc645bac081908c0b161d0ca99aaf completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae896b357c8190a6cdf99d5292037e completed March 9, 2026, 8:48 a.m.
NEDg Description generation batch_69ae8e8263a08190a0950dbb1336df70 completed March 9, 2026, 9:10 a.m.
NED2 Entity disambiguation (via description) batch_69ae8f9fe79c819080062587aed27379 completed March 9, 2026, 9:15 a.m.
Created at: March 4, 2026, 7:49 p.m.