Triple
T1201998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meuse |
E25802
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Wallonia |
E21626
|
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: Wallonia | Statement: [Meuse, flowsThrough, Wallonia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wallonia Context triple: [Meuse, flowsThrough, Wallonia]
-
A.
Wallonia
chosen
Wallonia is the predominantly French-speaking southern region of Belgium, known for its industrial heritage, cultural distinctiveness, and political autonomy within the Belgian federal state.
-
B.
Flemish Brabant
Flemish Brabant is a central Belgian province in the Flanders region, known for its mix of historic towns, rural landscapes, and proximity to Brussels.
-
C.
Walloon Brabant
Walloon Brabant is a predominantly French-speaking province in central Belgium known for its historic towns, universities, and proximity to Brussels.
-
D.
Flanders
Flanders is the Dutch-speaking northern region of Belgium, known for its rich medieval cities, strong economy, and distinct cultural identity.
-
E.
Brussels-Capital Region
The Brussels-Capital Region is the bilingual federal region of Belgium that includes the city of Brussels and serves as a major political center hosting numerous international institutions.
- 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_69a4942b30f08190a91c60573e16b5ef |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd9fece4819089a6a2d61e61fa2e |
completed | March 1, 2026, 10:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeab57c8c81908b1dbdaf7ba4b29b |
completed | March 8, 2026, 9:31 p.m. |
Created at: March 1, 2026, 7:46 p.m.