Triple
T21183355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roosendaal |
E522007
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Rucphen |
—
|
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: Rucphen | Statement: [Roosendaal, borderedBy, Rucphen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rucphen Context triple: [Roosendaal, borderedBy, Rucphen]
-
A.
Rucphen
chosen
Rucphen is a municipality in the Dutch province of North Brabant, known for its rural character and proximity to the cities of Roosendaal and Breda.
-
B.
Bockenem
Bockenem is a small town in Lower Saxony, Germany, known for its rural character and location within the Hildesheim district.
-
C.
Warth-Schröcken
Warth-Schröcken is a small alpine ski resort village in the Austrian state of Vorarlberg, known for its reliable snowfall and access to the Arlberg ski area.
-
D.
Rhauderfehn
Rhauderfehn is a municipality in the East Frisian region of Lower Saxony in northwestern Germany, known for its origins as a peat colony and its characteristic canal landscape.
-
E.
Röthlein
Röthlein is a small municipality in the Schweinfurt district of Bavaria, Germany.
- 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.