Triple

T25882239
Position Surface form Disambiguated ID Type / Status
Subject Rodrigo Facio Campus E652079 entity
Predicate namedAfter P63 FINISHED
Object Rodrigo Facio Brenes
Rodrigo Facio Brenes was a prominent Costa Rican lawyer, academic, and reformist intellectual who served as rector of the University of Costa Rica and played a key role in modernizing the country’s higher education system.
E1710718 NE FINISHED

How this triple was built (2 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: Rodrigo Facio Brenes | Statement: [Rodrigo Facio Campus, namedAfter, Rodrigo Facio Brenes]
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: Rodrigo Facio Brenes
Triple: [Rodrigo Facio Campus, namedAfter, Rodrigo Facio Brenes]
Generated description
Rodrigo Facio Brenes was a prominent Costa Rican lawyer, academic, and reformist intellectual who served as rector of the University of Costa Rica and played a key role in modernizing the country’s higher education system.

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_69e7ab3b92cc81908febd90317862647 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f6033f41ec8190972811c69a8236e2 completed May 2, 2026, 1:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11272ef1808190bd8185a1f1b79d5c completed May 23, 2026, 4:03 a.m.
NEDg Description generation batch_6a1134afc1c88190a1c0bf52f223399e completed May 23, 2026, 5:01 a.m.
NED2 Entity disambiguation (via description) batch_6a1135f6bbcc819090e8ec142966d305 completed May 23, 2026, 5:07 a.m.
Created at: April 22, 2026, 8:16 a.m.