Triple

T1228299
Position Surface form Disambiguated ID Type / Status
Subject University of Puerto Rico system E26376 entity
Predicate hasPart P35 FINISHED
Object University of Puerto Rico Medical Sciences Campus
The University of Puerto Rico Medical Sciences Campus is a leading public academic health center in Puerto Rico, offering professional education and research programs in medicine, dentistry, nursing, public health, and related health sciences.
E156275 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: University of Puerto Rico Medical Sciences Campus | Statement: [University of Puerto Rico system, hasPart, University of Puerto Rico Medical Sciences Campus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: University of Puerto Rico Medical Sciences Campus
Context triple: [University of Puerto Rico system, hasPart, University of Puerto Rico Medical Sciences Campus]
  • A. University of Puerto Rico at Ponce
    The University of Puerto Rico at Ponce is a public regional campus of Puerto Rico’s main university system, offering undergraduate programs and research opportunities primarily serving the southern region of the island.
  • B. University of Puerto Rico at Bayamón
    The University of Puerto Rico at Bayamón is a public regional campus in Bayamón, Puerto Rico, offering undergraduate programs with a focus on science, technology, and professional studies.
  • C. University of Puerto Rico at Carolina
    The University of Puerto Rico at Carolina is a public regional campus of Puerto Rico’s main university system, offering undergraduate programs and professional training to students in the Carolina area.
  • D. Interamerican University of Puerto Rico, Metro Campus
    Interamerican University of Puerto Rico, Metro Campus is a major private higher education institution located in the metropolitan area of San Juan, Puerto Rico, offering a wide range of undergraduate and graduate programs.
  • E. University of Puerto Rico at Aguadilla
    The University of Puerto Rico at Aguadilla is a public regional campus of Puerto Rico’s main university system, offering undergraduate programs with a focus on science, technology, and business to students in the island’s northwest region.
  • 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: University of Puerto Rico Medical Sciences Campus
Triple: [University of Puerto Rico system, hasPart, University of Puerto Rico Medical Sciences Campus]
Generated description
The University of Puerto Rico Medical Sciences Campus is a leading public academic health center in Puerto Rico, offering professional education and research programs in medicine, dentistry, nursing, public health, and related health sciences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: University of Puerto Rico Medical Sciences Campus
Target entity description: The University of Puerto Rico Medical Sciences Campus is a leading public academic health center in Puerto Rico, offering professional education and research programs in medicine, dentistry, nursing, public health, and related health sciences.
  • A. University of Puerto Rico at Ponce
    The University of Puerto Rico at Ponce is a public regional campus of Puerto Rico’s main university system, offering undergraduate programs and research opportunities primarily serving the southern region of the island.
  • B. University of Puerto Rico at Bayamón
    The University of Puerto Rico at Bayamón is a public regional campus in Bayamón, Puerto Rico, offering undergraduate programs with a focus on science, technology, and professional studies.
  • C. University of Puerto Rico at Carolina
    The University of Puerto Rico at Carolina is a public regional campus of Puerto Rico’s main university system, offering undergraduate programs and professional training to students in the Carolina area.
  • D. Interamerican University of Puerto Rico, Metro Campus
    Interamerican University of Puerto Rico, Metro Campus is a major private higher education institution located in the metropolitan area of San Juan, Puerto Rico, offering a wide range of undergraduate and graduate programs.
  • E. University of Puerto Rico at Aguadilla
    The University of Puerto Rico at Aguadilla is a public regional campus of Puerto Rico’s main university system, offering undergraduate programs with a focus on science, technology, and business to students in the island’s northwest region.
  • 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_69a49484688c8190a1bf285eb396a8b6 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be3c5d4c819087f9e9e37204c3be completed March 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce5bdd248190a66551c814dcfac4 completed March 8, 2026, 1:18 a.m.
NEDg Description generation batch_69acceda83f08190b191c0c1432108b0 completed March 8, 2026, 1:20 a.m.
NED2 Entity disambiguation (via description) batch_69accfc65c008190affa13bee507bf6e completed March 8, 2026, 1:24 a.m.
Created at: March 1, 2026, 7:47 p.m.