Triple
T7544923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lodewijk Napoleon |
E178375
|
entity |
| Predicate | burialPlace |
P196
|
FINISHED |
| Object | Saint-Leu-la-Forêt |
E109175
|
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: Saint-Leu-la-Forêt | Statement: [Lodewijk Napoleon, burialPlace, Saint-Leu-la-Forêt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint-Leu-la-Forêt Context triple: [Lodewijk Napoleon, burialPlace, Saint-Leu-la-Forêt]
-
A.
Saint-Leu-la-Forêt
chosen
Saint-Leu-la-Forêt is a commune in the northern suburbs of Paris, France, known for its historical association with the Bonaparte family, including the burial of Louis Bonaparte.
-
B.
Saint-Brice-sous-Forêt
Saint-Brice-sous-Forêt is a suburban commune in the Val-d'Oise department in northern France, located just north of Paris.
-
C.
La Roche-sur-Foron
La Roche-sur-Foron is a small historic town in the Haute-Savoie department of southeastern France, situated in the Arve Valley between Annecy and Geneva.
-
D.
Verrières
Verrières is a small French commune located within the Thiers arrondissement in the Puy-de-Dôme department of central France.
-
E.
Escoutoux
Escoutoux is a small commune in central France’s Puy-de-Dôme department, known for its rural setting in the Auvergne region.
- 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_69c69f2cbe08819088f9eb0c03ef529b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f898069881909fa8f9c885c4565b |
completed | March 27, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f21aa5c819085e8d1ecbd9b01e3 |
completed | March 28, 2026, 9:58 p.m. |
Created at: March 27, 2026, 3:48 p.m.