Triple
T13345478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Lleida |
E317937
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
UdL
UdL is the commonly used abbreviation for the University of Lleida, a public higher education and research institution in Catalonia, Spain.
|
E1035325
|
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: UdL | Statement: [University of Lleida, shortName, UdL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UdL Context triple: [University of Lleida, shortName, UdL]
-
A.
UdL
UdL is a major French public research university consortium based in Lyon, encompassing several higher education and research institutions across the Lyon–Saint-Étienne area.
-
B.
UdeA
UdeA is a major public research university in Medellín, Colombia, recognized for its academic excellence and cultural and scientific contributions to the region.
-
C.
UDLAP
UDLAP is a prestigious private university in Puebla, Mexico, known for its strong academic programs and international outlook.
-
D.
ULM
ULM is a public university in Monroe, Louisiana, known for its academic programs, research initiatives, and Warhawks athletic teams.
-
E.
UPV
UPV is the commonly used acronym for the Polytechnic University of Valencia, a major Spanish public technical university known for its engineering and technology programs.
- 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: UdL Triple: [University of Lleida, shortName, UdL]
Generated description
UdL is the commonly used abbreviation for the University of Lleida, a public higher education and research institution in Catalonia, Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UdL Target entity description: UdL is the commonly used abbreviation for the University of Lleida, a public higher education and research institution in Catalonia, Spain.
-
A.
UdL
UdL is a major French public research university consortium based in Lyon, encompassing several higher education and research institutions across the Lyon–Saint-Étienne area.
-
B.
UdeA
UdeA is a major public research university in Medellín, Colombia, recognized for its academic excellence and cultural and scientific contributions to the region.
-
C.
UDLAP
UDLAP is a prestigious private university in Puebla, Mexico, known for its strong academic programs and international outlook.
-
D.
ULM
ULM is a public university in Monroe, Louisiana, known for its academic programs, research initiatives, and Warhawks athletic teams.
-
E.
UPV
UPV is the commonly used acronym for the Polytechnic University of Valencia, a major Spanish public technical university known for its engineering and technology programs.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e89c65c819093f3bea11d6073c5 |
completed | April 11, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f439b3c8190b35fd4d097d65068 |
completed | May 3, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_69f7204ac36c8190a04e921442489e9c |
completed | May 3, 2026, 10:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7221af9e881908b65ab2e7aec0c78 |
completed | May 3, 2026, 10:23 a.m. |
Created at: April 9, 2026, 9:31 p.m.