Triple

T6939382
Position Surface form Disambiguated ID Type / Status
Subject National University of Costa Rica E160634 entity
Predicate shortName P43 FINISHED
Object UNA
UNA is the commonly used acronym for the National University of Costa Rica, a major public higher education and research institution in the country.
 E628639 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: UNA | Statement: [National University of Costa Rica, shortName, UNA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UNA
Context triple: [National University of Costa Rica, shortName, UNA]
  • A. UNA
    UNA is the stock ticker symbol for Unilever, a major multinational consumer goods company known for its wide range of food, personal care, and household products.
  • B. UNA
    UNA is a public university located in Florence, Alabama, known for its regional academic programs and historic campus.
  • C. UNI
    UNI was a 1960s–1970s American record label and imprint of MCA Records known for releasing rock, pop, and soul music.
  • D. UNI
    UNI is a public university in Cedar Falls, Iowa, known for its strong teacher education programs and comprehensive undergraduate and graduate offerings.
  • E. UNAH
    UNAH is the main public higher education institution in Honduras, known for its comprehensive academic programs and central role in the country’s research and professional training.
  • 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: UNA
Triple: [National University of Costa Rica, shortName, UNA]
Generated description
UNA is the commonly used acronym for the National University of Costa Rica, a major public higher education and research institution in the country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UNA
Target entity description: UNA is the commonly used acronym for the National University of Costa Rica, a major public higher education and research institution in the country.
  • A. UNA
    UNA is the stock ticker symbol for Unilever, a major multinational consumer goods company known for its wide range of food, personal care, and household products.
  • B. UNA
    UNA is a public university located in Florence, Alabama, known for its regional academic programs and historic campus.
  • C. UNI
    UNI was a 1960s–1970s American record label and imprint of MCA Records known for releasing rock, pop, and soul music.
  • D. UNI
    UNI is a public university in Cedar Falls, Iowa, known for its strong teacher education programs and comprehensive undergraduate and graduate offerings.
  • E. UNAH
    UNAH is the main public higher education institution in Honduras, known for its comprehensive academic programs and central role in the country’s research and professional training.
  • 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_69c6884f3db4819080ad65da69386206 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da641ce08190a133c9ba4977755d completed March 27, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7515880948190970cadd7adeda435 completed March 28, 2026, 3:56 a.m.
NEDg Description generation batch_69c7524e3ef48190a78601ca290f133d completed March 28, 2026, 4 a.m.
NED2 Entity disambiguation (via description) batch_69c752dca6e08190a087898d99c015ac completed March 28, 2026, 4:02 a.m.
Created at: March 27, 2026, 2:28 p.m.