Triple
T22865694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaumont, France |
E567046
|
entity |
| Predicate | twinnedWith |
P1072
|
FINISHED |
| Object | Bad Nauheim, Germany |
—
|
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 Nauheim, Germany | Statement: [Chaumont, France, twinnedWith, Bad Nauheim, Germany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Nauheim, Germany Context triple: [Chaumont, France, twinnedWith, Bad Nauheim, Germany]
-
A.
Bad Nauheim, West Germany
chosen
Bad Nauheim, West Germany, is a historic spa town known for its therapeutic mineral springs and as the place where Elvis Presley was stationed during his military service.
-
B.
Bad Dürkheim, Germany
Bad Dürkheim is a spa town in Germany’s Rhineland-Palatinate region, known for its wine production and the annual Wurstmarkt wine festival.
-
C.
Bad Soden am Taunus, Germany
Bad Soden am Taunus is a spa town in the German state of Hesse, known for its mineral springs and proximity to Frankfurt.
-
D.
Badenweiler, Germany
Badenweiler, Germany is a spa town in the Black Forest region of southwestern Germany, renowned for its thermal baths and historic resort atmosphere.
-
E.
Bergheim, Germany
Bergheim is a town in western Germany’s North Rhine-Westphalia known for its historic center and proximity to the Cologne metropolitan area.
- 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_69e24589083081908d5694c4fdc80086 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f00f21081909b771610549c5757 |
completed | April 29, 2026, 3:46 a.m. |
Created at: April 17, 2026, 3:38 p.m.