Triple
T22595613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neerwinden |
E574671
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Brabant |
—
|
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: Brabant | Statement: [Neerwinden, region, Brabant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brabant Context triple: [Neerwinden, region, Brabant]
-
A.
Brabant
chosen
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.
-
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.
Northeast Brabant
Northeast Brabant is a region in the Dutch province of North Brabant, known for its mix of historic towns, agricultural landscapes, and growing industrial and logistics hubs.
-
E.
East Flanders
East Flanders is a province in the Flemish Region of Belgium, known for its historic cities, including Ghent, and its role as an economic and cultural hub.
- 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_69e245bc11308190b69d794d5d1e0bb6 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f16268cb54819084a0f27ec0473f35 |
completed | April 29, 2026, 1:44 a.m. |
Created at: April 17, 2026, 2:49 p.m.