Triple
T515565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | École Polytechnique |
E10698
|
entity |
| Predicate | supervisingAuthority |
P1330
|
FINISHED |
| Object |
French Ministry of Higher Education and Research
The French Ministry of Higher Education and Research is the national government department responsible for defining and implementing France’s policies on universities, research institutions, and advanced scientific and technological education.
|
E65061
|
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: French Ministry of Higher Education and Research | Statement: [École Polytechnique, supervisingAuthority, French Ministry of Higher Education and Research]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: French Ministry of Higher Education and Research Context triple: [École Polytechnique, supervisingAuthority, French Ministry of Higher Education and Research]
-
A.
Université Paris-Saclay
Université Paris-Saclay is a leading French research-intensive university cluster near Paris, renowned for its strengths in science, engineering, and innovation.
-
B.
Université de Versailles Saint-Quentin-en-Yvelines
Université de Versailles Saint-Quentin-en-Yvelines is a French public university in the Île-de-France region known for its programs in science, engineering, social sciences, and environmental studies.
-
C.
Université Paris Cité
Université Paris Cité is a major multidisciplinary public research university in Paris, France, formed from the merger of several historic Parisian institutions and known for its strong programs in science, medicine, and the humanities.
-
D.
Université Paris Nanterre
Université Paris Nanterre is a major French public university in the Paris region, known for its strong programs in law, social sciences, and humanities and its historic role in the May 1968 student protests.
-
E.
Collège de France
Collège de France is a prestigious Parisian higher education and research institution renowned for its free, public lectures by leading scholars across a wide range of disciplines.
- 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: French Ministry of Higher Education and Research Triple: [École Polytechnique, supervisingAuthority, French Ministry of Higher Education and Research]
Generated description
The French Ministry of Higher Education and Research is the national government department responsible for defining and implementing France’s policies on universities, research institutions, and advanced scientific and technological education.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: French Ministry of Higher Education and Research Target entity description: The French Ministry of Higher Education and Research is the national government department responsible for defining and implementing France’s policies on universities, research institutions, and advanced scientific and technological education.
-
A.
Université Paris-Saclay
Université Paris-Saclay is a leading French research-intensive university cluster near Paris, renowned for its strengths in science, engineering, and innovation.
-
B.
Université de Versailles Saint-Quentin-en-Yvelines
Université de Versailles Saint-Quentin-en-Yvelines is a French public university in the Île-de-France region known for its programs in science, engineering, social sciences, and environmental studies.
-
C.
Université Paris Cité
Université Paris Cité is a major multidisciplinary public research university in Paris, France, formed from the merger of several historic Parisian institutions and known for its strong programs in science, medicine, and the humanities.
-
D.
Université Paris Nanterre
Université Paris Nanterre is a major French public university in the Paris region, known for its strong programs in law, social sciences, and humanities and its historic role in the May 1968 student protests.
-
E.
Collège de France
Collège de France is a prestigious Parisian higher education and research institution renowned for its free, public lectures by leading scholars across a wide range of disciplines.
- 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_69a2e84a0d08819087e01863fcd9abf1 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1836b688190a60cc901a8724159 |
completed | Feb. 28, 2026, 1:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4ab1dc61081908d7215b68f95b2ba |
completed | March 1, 2026, 9:09 p.m. |
| NEDg | Description generation | batch_69a4ab94bd988190a91a592622a9d77f |
completed | March 1, 2026, 9:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4ac04fb78819093c85d04b90cc8cb |
completed | March 1, 2026, 9:13 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.