Triple
T1289967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emmanuel-Joseph Sieyès |
E27522
|
entity |
| Predicate | educatedAt |
P5
|
FINISHED |
| Object | Sorbonne |
E16381
|
NE FINISHED |
How this triple was built (2 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: Sorbonne | Statement: [Emmanuel-Joseph Sieyès, educatedAt, Sorbonne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sorbonne Context triple: [Emmanuel-Joseph Sieyès, educatedAt, Sorbonne]
-
A.
La Sorbonne
chosen
La Sorbonne is a historic university building in Paris that has long served as a central symbol of French higher education and intellectual life.
-
B.
Sorbonne University
Sorbonne University is a major public research university in Paris renowned for its historic humanities, science, and medical faculties.
-
C.
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.
-
D.
Sciences Po
Sciences Po is a prestigious French university renowned for its programs in political science, international relations, and social sciences.
-
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.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a496d4ec448190ad653b2590c46711 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0d4dfb081908c8825d6062b1d99 |
completed | March 1, 2026, 10:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae26d7583c8190b84127ad2e5ca4c1 |
completed | March 9, 2026, 1:48 a.m. |
Created at: March 1, 2026, 7:51 p.m.