Triple

T15569011

Position	Surface form	Disambiguated ID	Type / Status
Subject	Faculty of Medicine of the University of Coimbra	`E374189`	entity
Predicate	affiliation	`P10`	FINISHED
Object	Coimbra University Hospital Centre Coimbra University Hospital Centre is a major Portuguese teaching and research hospital complex in Coimbra that serves as a primary clinical and training hub for the University of Coimbra’s medical faculty.	`E1166630`	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: Coimbra University Hospital Centre | Statement: [Faculty of Medicine of the University of Coimbra, affiliation, Coimbra University Hospital Centre]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: Coimbra University Hospital Centre
Context triple: [Faculty of Medicine of the University of Coimbra, affiliation, Coimbra University Hospital Centre]

A. Faculty of Medicine of the University of Coimbra
The Faculty of Medicine of the University of Coimbra is a major Portuguese medical school known for its historic legacy, clinical training, and biomedical research within one of Europe’s oldest universities.
B. Portuguese National Health Service
The Portuguese National Health Service is Portugal’s publicly funded universal healthcare system that provides comprehensive medical services to residents through a nationwide network of hospitals and primary care centers.
C. University of Porto
The University of Porto is one of Portugal’s largest and most prestigious public universities, renowned for its research output and diverse academic programs.
D. Faculty of Pharmacy of the University of Coimbra
The Faculty of Pharmacy of the University of Coimbra is a higher education and research institution in Portugal specializing in pharmaceutical sciences, including pharmacy, pharmacology, and related health sciences.
E. University of Aveiro
The University of Aveiro is a Portuguese public research university known for its strong focus on science, technology, and innovation, located in the coastal city of Aveiro.
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: Coimbra University Hospital Centre
Triple: [Faculty of Medicine of the University of Coimbra, affiliation, Coimbra University Hospital Centre]

Generated description

Coimbra University Hospital Centre is a major Portuguese teaching and research hospital complex in Coimbra that serves as a primary clinical and training hub for the University of Coimbra’s medical faculty.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: Coimbra University Hospital Centre
Target entity description: Coimbra University Hospital Centre is a major Portuguese teaching and research hospital complex in Coimbra that serves as a primary clinical and training hub for the University of Coimbra’s medical faculty.

A. Faculty of Medicine of the University of Coimbra
The Faculty of Medicine of the University of Coimbra is a major Portuguese medical school known for its historic legacy, clinical training, and biomedical research within one of Europe’s oldest universities.
B. Portuguese National Health Service
The Portuguese National Health Service is Portugal’s publicly funded universal healthcare system that provides comprehensive medical services to residents through a nationwide network of hospitals and primary care centers.
C. University of Porto
The University of Porto is one of Portugal’s largest and most prestigious public universities, renowned for its research output and diverse academic programs.
D. Faculty of Pharmacy of the University of Coimbra
The Faculty of Pharmacy of the University of Coimbra is a higher education and research institution in Portugal specializing in pharmaceutical sciences, including pharmacy, pharmacology, and related health sciences.
E. University of Aveiro
The University of Aveiro is a Portuguese public research university known for its strong focus on science, technology, and innovation, located in the coastal city of Aveiro.
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_69d85ccd575081908909b71a3f3e3a61`	completed	April 10, 2026, 2:13 a.m.
NER	Named-entity recognition	`batch_69e04e1de0488190b3639fc25f79d343`	completed	April 16, 2026, 2:49 a.m.
NED1	Entity disambiguation (via context triple)	`batch_69ff56c231e0819083d6032eb21114b2`	completed	May 9, 2026, 3:46 p.m.
NEDg	Description generation	`batch_69ff58334f688190907e331755156c8a`	completed	May 9, 2026, 3:52 p.m.
NED2	Entity disambiguation (via description)	`batch_69ff588814808190a7e593a5ae80f816`	completed	May 9, 2026, 3:53 p.m.

Created at: April 10, 2026, 4:10 a.m.