Triple
T13303246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Girona |
E316866
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | UdG |
E316866
|
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: UdG | Statement: [University of Girona, shortName, UdG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UdG Context triple: [University of Girona, shortName, UdG]
-
A.
University of Girona
chosen
The University of Girona is a public higher education and research institution located in the city of Girona, Catalonia, Spain.
-
B.
Open University of Catalonia
The Open University of Catalonia is an online-focused Catalan university known for its distance education programs and digital learning model.
-
C.
Universitat Autònoma de Barcelona
The Universitat Autònoma de Barcelona is a major public research university in Catalonia, Spain, known for its strong academic programs and extensive campus near Barcelona.
-
D.
University of Lleida
The University of Lleida is a public higher education and research institution located in the city of Lleida, Catalonia, Spain.
-
E.
Universitat de Manresa
Universitat de Manresa is a higher education institution located in the Catalan city of Manresa, offering university-level studies and professional training.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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. |
Created at: April 9, 2026, 9:28 p.m.