Triple
T5600439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Collège de la Marche |
E147105
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | University of Paris |
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: University of Paris | Statement: [Collège de la Marche, partOf, University of Paris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: University of Paris Context triple: [Collège de la Marche, partOf, University of Paris]
-
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.
Sorbon
Sorbon is a small commune in the Ardennes department of northern France, historically notable as the birthplace of theologian Robert de Sorbon, founder of the Sorbonne.
-
C.
Sorbonne University
Sorbonne University is a major public research university in Paris renowned for its historic humanities, science, and medical faculties.
-
D.
University of Tours
The University of Tours is a French public university located in the city of Tours, known for its programs in humanities, law, sciences, and health.
-
E.
University of Montpellier
The University of Montpellier is one of the oldest universities in the world, a major French public research institution renowned for its strengths in medicine, science, and law.
- 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_69c009043d648190a7af89698ccf1e3e |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020da519c81908626b243e40db263 |
completed | March 22, 2026, 5:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6409132c481909f287f98290497f9 |
completed | March 27, 2026, 8:32 a.m. |
Created at: March 22, 2026, 3:38 p.m.