Triple
T20540617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Université Paris-Sud |
E504318
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object |
Ligue des universités de recherche européennes (LERU, via Paris-Saclay context)
The Ligue des universités de recherche européennes (LERU) is a consortium of leading European research-intensive universities that collaborates to influence research policy and promote high-quality academic research and education across Europe.
|
E1437210
|
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: Ligue des universités de recherche européennes (LERU, via Paris-Saclay context) | Statement: [Université Paris-Sud, memberOf, Ligue des universités de recherche européennes (LERU, via Paris-Saclay context)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ligue des universités de recherche européennes (LERU, via Paris-Saclay context) Context triple: [Université Paris-Sud, memberOf, Ligue des universités de recherche européennes (LERU, via Paris-Saclay context)]
-
A.
Young European Research Universities Network
Young European Research Universities Network is an alliance of young, research-intensive European universities that collaborate to enhance academic excellence, innovation, and policy influence in higher education and research.
-
B.
LERU Rectors’ Assembly
The LERU Rectors’ Assembly is the governing body of the League of European Research Universities, bringing together the rectors of its member institutions to set strategy and policy.
-
C.
Guild of European Research-Intensive Universities
The Guild of European Research-Intensive Universities is a network of leading European universities dedicated to advancing high-quality research, innovation, and influence on European higher education policy.
-
D.
Union of French Research Institutes Abroad
The Union of French Research Institutes Abroad is a network of French scholarly institutions operating internationally to support research, training, and cultural exchange in the humanities and social sciences.
-
E.
ENS Paris-Saclay
ENS Paris-Saclay is a prestigious French grande école that trains high-level researchers, academics, and professionals in science and humanities within the Université Paris-Saclay system.
- 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: Ligue des universités de recherche européennes (LERU, via Paris-Saclay context) Triple: [Université Paris-Sud, memberOf, Ligue des universités de recherche européennes (LERU, via Paris-Saclay context)]
Generated description
The Ligue des universités de recherche européennes (LERU) is a consortium of leading European research-intensive universities that collaborates to influence research policy and promote high-quality academic research and education across Europe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ligue des universités de recherche européennes (LERU, via Paris-Saclay context) Target entity description: The Ligue des universités de recherche européennes (LERU) is a consortium of leading European research-intensive universities that collaborates to influence research policy and promote high-quality academic research and education across Europe.
-
A.
Young European Research Universities Network
Young European Research Universities Network is an alliance of young, research-intensive European universities that collaborate to enhance academic excellence, innovation, and policy influence in higher education and research.
-
B.
LERU Rectors’ Assembly
The LERU Rectors’ Assembly is the governing body of the League of European Research Universities, bringing together the rectors of its member institutions to set strategy and policy.
-
C.
Guild of European Research-Intensive Universities
The Guild of European Research-Intensive Universities is a network of leading European universities dedicated to advancing high-quality research, innovation, and influence on European higher education policy.
-
D.
Union of French Research Institutes Abroad
The Union of French Research Institutes Abroad is a network of French scholarly institutions operating internationally to support research, training, and cultural exchange in the humanities and social sciences.
-
E.
ENS Paris-Saclay
ENS Paris-Saclay is a prestigious French grande école that trains high-level researchers, academics, and professionals in science and humanities within the Université Paris-Saclay system.
- 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_69e0b4b476648190bc6019622ae54d3c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a29224f081908298d104161c5bb9 |
completed | April 20, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08a567f39c819098b75ea029b3f740 |
completed | May 16, 2026, 5:12 p.m. |
| NEDg | Description generation | batch_6a08a66836d88190a63b42663455e491 |
completed | May 16, 2026, 5:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08a6e4bd1c8190969cf969812a2e56 |
completed | May 16, 2026, 5:18 p.m. |
Created at: April 16, 2026, 11:37 a.m.