Triple
T13303275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Girona |
E316866
|
entity |
| Predicate | hasRector |
P325
|
FINISHED |
| Object |
Quim Salvi
Quim Salvi is a Spanish academic and university administrator who serves as rector of the University of Girona in Catalonia.
|
E1033149
|
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: Quim Salvi | Statement: [University of Girona, hasRector, Quim Salvi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quim Salvi Context triple: [University of Girona, hasRector, Quim Salvi]
-
A.
Jordi Mollà
Jordi Mollà is a Spanish actor, director, and artist known for his intense character roles in both European cinema and Hollywood films such as "Blow" and "Bad Boys II."
-
B.
Quim Monzó
Quim Monzó is a Catalan writer and journalist renowned for his short stories, novels, and essays characterized by irony, humor, and sharp social observation.
-
C.
Juan Dalmau
Juan Dalmau is a Puerto Rican lawyer and politician best known as a leading figure and former gubernatorial candidate of the Puerto Rican Independence Party.
-
D.
Francesc Mitjans
Francesc Mitjans was a Spanish architect best known for designing FC Barcelona’s iconic Camp Nou stadium.
-
E.
Josep Prat
Josep Prat is a relatively obscure individual known primarily for sharing the surname Prat, with no widely documented public achievements or roles.
- 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: Quim Salvi Triple: [University of Girona, hasRector, Quim Salvi]
Generated description
Quim Salvi is a Spanish academic and university administrator who serves as rector of the University of Girona in Catalonia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Quim Salvi Target entity description: Quim Salvi is a Spanish academic and university administrator who serves as rector of the University of Girona in Catalonia.
-
A.
Jordi Mollà
Jordi Mollà is a Spanish actor, director, and artist known for his intense character roles in both European cinema and Hollywood films such as "Blow" and "Bad Boys II."
-
B.
Quim Monzó
Quim Monzó is a Catalan writer and journalist renowned for his short stories, novels, and essays characterized by irony, humor, and sharp social observation.
-
C.
Juan Dalmau
Juan Dalmau is a Puerto Rican lawyer and politician best known as a leading figure and former gubernatorial candidate of the Puerto Rican Independence Party.
-
D.
Francesc Mitjans
Francesc Mitjans was a Spanish architect best known for designing FC Barcelona’s iconic Camp Nou stadium.
-
E.
Josep Prat
Josep Prat is a relatively obscure individual known primarily for sharing the surname Prat, with no widely documented public achievements or roles.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990a60eb08190bf0dc098ca7dc342 |
completed | April 11, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716e161008190a48275ef54225d56 |
completed | May 3, 2026, 9:35 a.m. |
| NEDg | Description generation | batch_69f717b7b6dc8190ab323c1926dd9adb |
completed | May 3, 2026, 9:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7186b6218819096c67e9dd9af609f |
completed | May 3, 2026, 9:42 a.m. |
Created at: April 9, 2026, 9:28 p.m.