Triple
T22657310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De Kempen |
E559261
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Hoogstraten |
—
|
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: Hoogstraten | Statement: [De Kempen, hasSettlement, Hoogstraten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoogstraten Context triple: [De Kempen, hasSettlement, Hoogstraten]
-
A.
Hoogstraten
chosen
Hoogstraten is a historic town and municipality in northern Belgium known for its distinctive church tower and agricultural production, particularly strawberries.
-
B.
Bronkhorst
Bronkhorst is a small historic town in the Netherlands often regarded as one of the country’s smallest and known for its well-preserved medieval character.
-
C.
Wernhout
Wernhout is a village in the Dutch province of North Brabant, located within the municipality of Zundert near the Belgian border.
-
D.
Dwingeloo
Dwingeloo is a village in the Dutch province of Drenthe, known for its historic green, traditional Saxon farmhouses, and proximity to the Dwingelderveld National Park.
-
E.
Struycken
Struycken is a Dutch surname most notably borne by actor Carel Struycken, known for his distinctive tall stature and roles in film and television.
- 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_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1765c62bc8190b3fcde76d6b6dfb6 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 3:06 p.m.