Triple
T22343858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bundesstraße 202 |
E552340
|
entity |
| Predicate | connectsTown |
P845
|
FINISHED |
| Object | Kappeln |
—
|
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: Kappeln | Statement: [Bundesstraße 202, connectsTown, Kappeln]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kappeln Context triple: [Bundesstraße 202, connectsTown, Kappeln]
-
A.
Kappeln
chosen
Kappeln is a small town in northern Germany known for its picturesque harbor on the Schlei inlet and its traditional herring fishery.
-
B.
Kapelle
Kapelle is a small municipality and town in the Dutch province of Zeeland, known for its agricultural landscape and historic village character.
-
C.
Kalenberg
Kalenberg is a small waterside village in the Dutch province of Overijssel, known for its canals, reedlands, and traditional houses amid the wetlands of the Weerribben-Wieden area.
-
D.
Kalenberg
Kalenberg is a small district (Ortsteil) of the town of Mechernich in the Euskirchen district of North Rhine-Westphalia, Germany.
-
E.
Kronshagen
Kronshagen is a small municipality in the German state of Schleswig-Holstein, located near the city of Kiel.
- 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_69e11e494eec81909c4d2d51f69499d9 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15796b2288190b10e9402abf35fd3 |
completed | April 29, 2026, 12:57 a.m. |
Created at: April 16, 2026, 8:43 p.m.