Triple
T22993705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N65 road |
E572125
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Udenhout |
—
|
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: Udenhout | Statement: [N65 road, serves, Udenhout]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Udenhout Context triple: [N65 road, serves, Udenhout]
-
A.
Hudde
Hudde is a Dutch surname most notably associated with Johannes Hudde, a 17th-century mathematician and mayor of Amsterdam known for his contributions to algebra and optics.
-
B.
Raalte
Raalte is a town and municipality in the Dutch province of Overijssel, known for its agricultural surroundings and regional festivals.
-
C.
Ubbergen
Ubbergen is a village in the Dutch province of Gelderland, known for its scenic, hilly landscape near Nijmegen and the German border.
-
D.
Buitenkaag
Buitenkaag is a small village in the Dutch province of North Holland, situated in the municipality of Haarlemmermeer near the Kagerplassen lake area.
-
E.
Dongen
chosen
Dongen is a municipality and town in the province of North Brabant in the southern Netherlands.
- 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_69e245b535808190adef8a9df3c584db |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182f1940c8190a5645ee8d8e5e063 |
completed | April 29, 2026, 4:02 a.m. |
Created at: April 17, 2026, 3:50 p.m.