Triple
T17023461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siegen-Wittgenstein |
E413003
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Bad Laasphe |
E349382
|
NE FINISHED |
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: Bad Laasphe | Statement: [Siegen-Wittgenstein, contains, Bad Laasphe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Laasphe Context triple: [Siegen-Wittgenstein, contains, Bad Laasphe]
-
A.
Bad Laasphe
chosen
Bad Laasphe is a small spa town in the Siegen-Wittgenstein district of North Rhine-Westphalia, Germany, known for its scenic location in the upper Lahn valley.
-
B.
Bad Friedrichshall
Bad Friedrichshall is a small spa town in the northern part of Baden-Württemberg, Germany, known for its historic salt mining and location at the confluence of the Kocher and Jagst rivers with the Neckar.
-
C.
Scherpenisse
Scherpenisse is a village in the Dutch province of Zeeland, located on the island of Tholen.
-
D.
Bad Heilbrunn
Bad Heilbrunn is a spa municipality in Upper Bavaria, Germany, known for its health resorts and scenic Alpine foothills setting.
-
E.
Bad Rappenau
Bad Rappenau is a spa town in the German state of Baden-Württemberg, known for its thermal baths and health resorts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d2abbc81908943becf5f539fc6 |
completed | April 18, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b514de481909c78c17a3014b468 |
completed | May 10, 2026, 11:57 p.m. |
Created at: April 10, 2026, 5:33 a.m.