Triple
T12257460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michel Preud'homme |
E292137
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Ougrée |
E875432
|
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: Ougrée | Statement: [Michel Preud'homme, placeOfBirth, Ougrée]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ougrée Context triple: [Michel Preud'homme, placeOfBirth, Ougrée]
-
A.
Ougrée
chosen
Ougrée is a town in the Walloon region of Belgium that forms a sub-municipality of the industrial city of Seraing in the province of Liège.
-
B.
Schelfhout
Schelfhout is a Dutch surname most famously associated with 19th-century landscape painter Andreas Schelfhout.
-
C.
Overijse
Overijse is a municipality in the Flemish Brabant province of Belgium, known for its green residential character and extensive vineyards.
-
D.
Dieuze
Dieuze is a small commune in northeastern France, located in the Moselle department in the historical region of Lorraine.
-
E.
Oudenarde
Oudenarde (Oudenaarde) is a historic town in East Flanders, Belgium, known for its medieval architecture, tapestry production, and role in early modern European conflicts.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ccadc3c81908fe68adc3fdcc851 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e63da6081908840b1e37fd39b88 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.