Triple
T23143733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mongré estate |
E577530
|
entity |
| Predicate | gaveNameTo |
P744
|
FINISHED |
| Object | Collège de Mongré |
—
|
NE NERFINISHED |
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: Collège de Mongré | Statement: [Mongré estate, gaveNameTo, Collège de Mongré]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Collège de Mongré Context triple: [Mongré estate, gaveNameTo, Collège de Mongré]
-
A.
Collège de Mongré
chosen
Collège de Mongré is a prestigious Jesuit secondary school in France known for educating notable figures such as philosopher and paleontologist Pierre Teilhard de Chardin.
-
B.
Collège de Montaigu
Collège de Montaigu was a prominent medieval college of the University of Paris known for educating influential theologians and humanist scholars.
-
C.
Collège de Clermont
Collège de Clermont was the historic Parisian Jesuit college that later became the prestigious Lycée Louis-le-Grand.
-
D.
Collège des Godrans
Collège des Godrans was a historical educational institution in Dijon, France, known for educating notable figures such as naturalist Georges-Louis Leclerc, Comte de Buffon.
-
E.
Collège de la Marche
Collège de la Marche was a notable Parisian college of the University of Paris, known for educating prominent Enlightenment-era scholars and intellectuals.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245f8e6248190ba3d58e068b4dccb |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18ecc3710819088ac5d72dad0459a |
completed | April 29, 2026, 4:53 a.m. |
Created at: April 17, 2026, 4 p.m.