Triple
T19354598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | municipality of Boxmeer |
E484107
|
entity |
| Predicate | hadPopulationCentre |
P2106
|
FINISHED |
| Object | Sambeek |
—
|
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: Sambeek | Statement: [municipality of Boxmeer, hadPopulationCentre, Sambeek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sambeek Context triple: [municipality of Boxmeer, hadPopulationCentre, Sambeek]
-
A.
Sambeek
chosen
Sambeek is a village in the Dutch province of North Brabant, located within the municipality of Boxmeer.
-
B.
Lembeekse Beek
Lembeekse Beek is a stream in Belgium that serves as a notable tributary within the Zenne river basin.
-
C.
Schelfhout
Schelfhout is a Dutch surname most famously associated with 19th-century landscape painter Andreas Schelfhout.
-
D.
Dieuze
Dieuze is a small commune in northeastern France, located in the Moselle department in the historical region of Lorraine.
-
E.
Heiligenbergerbeek
Heiligenbergerbeek is a small stream in the Netherlands that flows through the Randenbroek area of Amersfoort.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6190794188190a94de464d985b5fd |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 10, 2026, 1:34 p.m.