Triple
T12019420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brussels–Charleroi Canal |
E286108
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Seneffe |
E342067
|
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: Seneffe | Statement: [Brussels–Charleroi Canal, passesThrough, Seneffe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seneffe Context triple: [Brussels–Charleroi Canal, passesThrough, Seneffe]
-
A.
Seneffe
chosen
Seneffe is a municipality in the province of Hainaut in Wallonia, Belgium, historically notable as the site of a major 17th-century battle during the Franco-Dutch War.
-
B.
Fallières
Fallières is a French surname most notably borne by Armand Fallières, who served as President of France in the early 20th century.
-
C.
Verzenay
Verzenay is a renowned Grand Cru wine-producing village in France’s Champagne region, particularly noted for its Pinot Noir vineyards on the Montagne de Reims.
-
D.
Esneux
Esneux is a municipality in the province of Liège in Wallonia, Belgium, known for its scenic setting in the Ourthe River valley.
-
E.
Neuville
Neuville is a small riverside municipality in the Capitale-Nationale region of Quebec, Canada, known for its historic charm and agricultural landscape along the St. Lawrence River.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903dabf2c819084dcaa05ae0a6018 |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49d4156ec8190bfc6d1180ac41d06 |
completed | May 1, 2026, 12:32 p.m. |
Created at: April 8, 2026, 9:47 p.m.