Triple
T22219957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riemst |
E549181
|
entity |
| Predicate | isPartOf |
P10
|
FINISHED |
| Object | Belgian Limburg |
—
|
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: Belgian Limburg | Statement: [Riemst, isPartOf, Belgian Limburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belgian Limburg Context triple: [Riemst, isPartOf, Belgian Limburg]
-
A.
Flemish Limburg
chosen
Flemish Limburg is a province in northeastern Belgium known for its Dutch-speaking population, cycling routes, and mix of historic towns and rural landscapes.
-
B.
Dutch Limburg
Dutch Limburg is a province in the southeastern Netherlands known for its hilly landscape, distinct Limburgish culture and language, and position bordering Belgium and Germany.
-
C.
Wallem
Wallem is a surname most notably associated with American actor and writer Stephen Wallem.
-
D.
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.
-
E.
Brabant
Brabant is a historic region in Western Europe, now divided mainly between the Netherlands and Belgium, known for its rich medieval heritage and distinct cultural identity.
- 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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b8fa3d081908db0a0556b009d8f |
completed | April 28, 2026, 9:50 p.m. |
Created at: April 16, 2026, 8:37 p.m.