Triple
T13070737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ENSTA Paris |
E329448
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
École Nationale Supérieure de Techniques Avancées
École Nationale Supérieure de Techniques Avancées is a prestigious French grande école of engineering known for advanced training and research in science, technology, and engineering disciplines.
|
E1035221
|
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: École Nationale Supérieure de Techniques Avancées | Statement: [ENSTA Paris, formerName, École Nationale Supérieure de Techniques Avancées]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: École Nationale Supérieure de Techniques Avancées Context triple: [ENSTA Paris, formerName, École Nationale Supérieure de Techniques Avancées]
-
A.
École Centrale Paris
École Centrale Paris was a prestigious French grande école of engineering renowned for its rigorous scientific curriculum and for training many leading engineers, researchers, and business leaders.
-
B.
École nationale supérieure d’arts et métiers
École nationale supérieure d’arts et métiers is a prestigious French grande école specializing in engineering and industrial technologies, known for training high-level engineers and technical leaders.
-
C.
Toulouse Tech
Toulouse Tech is a consortium of leading engineering and technology grandes écoles in Toulouse, France, focused on advanced education and research in science and engineering fields.
-
D.
École des Mines de Paris
École des Mines de Paris is one of France’s most prestigious engineering schools, renowned for its rigorous scientific and technical education and influential alumni in academia, industry, and government.
-
E.
École Centrale de Lyon
École Centrale de Lyon is a prestigious French grande école of engineering known for its strong programs in science, technology, and research, and is part of the broader University of Lyon community.
- 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: École Nationale Supérieure de Techniques Avancées Triple: [ENSTA Paris, formerName, École Nationale Supérieure de Techniques Avancées]
Generated description
École Nationale Supérieure de Techniques Avancées is a prestigious French grande école of engineering known for advanced training and research in science, technology, and engineering disciplines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: École Nationale Supérieure de Techniques Avancées Target entity description: École Nationale Supérieure de Techniques Avancées is a prestigious French grande école of engineering known for advanced training and research in science, technology, and engineering disciplines.
-
A.
École Centrale Paris
École Centrale Paris was a prestigious French grande école of engineering renowned for its rigorous scientific curriculum and for training many leading engineers, researchers, and business leaders.
-
B.
École nationale supérieure d’arts et métiers
École nationale supérieure d’arts et métiers is a prestigious French grande école specializing in engineering and industrial technologies, known for training high-level engineers and technical leaders.
-
C.
Toulouse Tech
Toulouse Tech is a consortium of leading engineering and technology grandes écoles in Toulouse, France, focused on advanced education and research in science and engineering fields.
-
D.
École des Mines de Paris
École des Mines de Paris is one of France’s most prestigious engineering schools, renowned for its rigorous scientific and technical education and influential alumni in academia, industry, and government.
-
E.
École Centrale de Lyon
École Centrale de Lyon is a prestigious French grande école of engineering known for its strong programs in science, technology, and research, and is part of the broader University of Lyon community.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980ee6130819095d835e7ff6a8c5b |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f0dddc88190918d3a071b75a556 |
completed | May 3, 2026, 10:10 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 p.m.