Triple
T5205417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris Institute of Statistics |
E117498
|
entity |
| Predicate | affiliation |
P10
|
FINISHED |
| Object |
Université Pierre et Marie Curie (historical)
Université Pierre et Marie Curie was a leading Parisian science and medicine university, renowned for its research in mathematics, physics, and the natural sciences before its merger into Sorbonne Université.
|
E609918
|
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: Université Pierre et Marie Curie (historical) | Statement: [Paris Institute of Statistics, affiliation, Université Pierre et Marie Curie (historical)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Université Pierre et Marie Curie (historical) Context triple: [Paris Institute of Statistics, affiliation, Université Pierre et Marie Curie (historical)]
-
A.
Panthéon-Sorbonne University
Panthéon-Sorbonne University is a prestigious Parisian institution renowned for its programs in law, humanities, and social sciences, and its historical roots in the University of Paris.
-
B.
Panthéon-Assas University
Panthéon-Assas University is a prestigious Parisian institution renowned for its law and social sciences programs and considered one of France’s leading universities in these fields.
-
C.
Université Paris V René Descartes
Université Paris V René Descartes was a major French public university in Paris known for its focus on humanities, social sciences, law, economics, and health sciences, and as one of the successor institutions to the historic University of Paris.
-
D.
Université Paris 1 Panthéon-Sorbonne
Université Paris 1 Panthéon-Sorbonne is a leading French public research university in Paris renowned for its programs in law, economics, humanities, and social sciences, and for its historic location in the Latin Quarter.
-
E.
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.
- 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: Université Pierre et Marie Curie (historical) Triple: [Paris Institute of Statistics, affiliation, Université Pierre et Marie Curie (historical)]
Generated description
Université Pierre et Marie Curie was a leading Parisian science and medicine university, renowned for its research in mathematics, physics, and the natural sciences before its merger into Sorbonne Université.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Université Pierre et Marie Curie (historical) Target entity description: Université Pierre et Marie Curie was a leading Parisian science and medicine university, renowned for its research in mathematics, physics, and the natural sciences before its merger into Sorbonne Université.
-
A.
Panthéon-Sorbonne University
Panthéon-Sorbonne University is a prestigious Parisian institution renowned for its programs in law, humanities, and social sciences, and its historical roots in the University of Paris.
-
B.
Panthéon-Assas University
Panthéon-Assas University is a prestigious Parisian institution renowned for its law and social sciences programs and considered one of France’s leading universities in these fields.
-
C.
Université Paris V René Descartes
Université Paris V René Descartes was a major French public university in Paris known for its focus on humanities, social sciences, law, economics, and health sciences, and as one of the successor institutions to the historic University of Paris.
-
D.
Université Paris 1 Panthéon-Sorbonne
Université Paris 1 Panthéon-Sorbonne is a leading French public research university in Paris renowned for its programs in law, economics, humanities, and social sciences, and for its historic location in the Latin Quarter.
-
E.
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.
- 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_69bd4463dd3c81909966123f20b79d57 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a490338819080481df79d3aae01 |
completed | March 20, 2026, 4:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eebbef8c8190ad00760312e40924 |
completed | March 27, 2026, 8:55 p.m. |
| NEDg | Description generation | batch_69c6f09ea58c8190bfd8a183581b5a5a |
completed | March 27, 2026, 9:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f1a0935881908afc30ce76bdf76f |
completed | March 27, 2026, 9:07 p.m. |
Created at: March 20, 2026, 1:47 p.m.