Triple
T21205472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dissen am Teutoburger Wald |
E522565
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Bad Rothenfelde |
—
|
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: Bad Rothenfelde | Statement: [Dissen am Teutoburger Wald, locatedNear, Bad Rothenfelde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Rothenfelde Context triple: [Dissen am Teutoburger Wald, locatedNear, Bad Rothenfelde]
-
A.
Bad Rothenfelde
chosen
Bad Rothenfelde is a spa town in Lower Saxony, Germany, known for its saline springs and health resort facilities.
-
B.
Bad Dürrheim
Bad Dürrheim is a spa town in southwestern Germany known for its health resorts and saline baths.
-
C.
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.
-
D.
Bad Lauchstädt
Bad Lauchstädt is a historic spa town in the German state of Saxony-Anhalt, known for its classical Kurpark and Goethe-Theater.
-
E.
Bad Belzig
Bad Belzig is a historic spa town in the German state of Brandenburg known for its medieval castle and thermal baths.
- 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_69e0b5112d8881909510b2dcdc93106d |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734342e9081909e241bed54dbc0b4 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 3:20 p.m.