Triple
T22010900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beerzelberg |
E543568
|
entity |
| Predicate | administrativeRegion |
P285
|
FINISHED |
| Object | Beerzel |
—
|
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: Beerzel | Statement: [Beerzelberg, administrativeRegion, Beerzel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beerzel Context triple: [Beerzelberg, administrativeRegion, Beerzel]
-
A.
Beerzel
chosen
Beerzel is a village in the Belgian province of Antwerp, known for its rural character and proximity to the Beerzelberg hill, one of the region’s higher points.
-
B.
Beerzelberg
Beerzelberg is a modest hill in Belgium known as the highest natural point in Antwerp Province.
-
C.
Bruls
Bruls is a Dutch surname most notably borne by Hubert Bruls, a Dutch politician and long-serving mayor of Nijmegen.
-
D.
Boonenberg
Boonenberg is a famed cobbled climb in the Tour of Flanders, nicknamed for Belgian cyclist Tom Boonen due to his repeated dominance on it.
-
E.
Ossenzijl
Ossenzijl is a small village in the Dutch province of Overijssel, known as a gateway to the Weerribben-Wieden National Park and its extensive wetlands and waterways.
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a4338c8190836074d21bfbaf78 |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:22 p.m.