Triple
T21183352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roosendaal |
E522007
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Etten-Leur |
—
|
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: Etten-Leur | Statement: [Roosendaal, borderedBy, Etten-Leur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Etten-Leur Context triple: [Roosendaal, borderedBy, Etten-Leur]
-
A.
Etten-Leur
chosen
Etten-Leur is a town and municipality in the southern Netherlands known for its historical connection to Vincent van Gogh and its location near the city of Breda.
-
B.
Merdorp
Merdorp is a village in the municipality of Hannut in the province of Liège, Belgium.
-
C.
Venray
Venray is a town and municipality in the Dutch province of Limburg, known for its historic center and role in World War II.
-
D.
Zandhoven
Zandhoven is a municipality in the Belgian province of Antwerp, known for its rural character and village communities.
-
E.
Deurne
Deurne is a district of the Belgian city of Antwerp, known for its residential neighborhoods and green spaces such as Rivierenhof park.
- 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_69e0b50ef1d48190b063aa342667df22 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7301f7f1c81908686866fdee57127 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 3:04 p.m.