Triple
T21900684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gmünd District |
E540798
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object | Bad Großpertholz |
—
|
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 Großpertholz | Statement: [Gmünd District, containsMunicipality, Bad Großpertholz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Großpertholz Context triple: [Gmünd District, containsMunicipality, Bad Großpertholz]
-
A.
Bad Schussenried
Bad Schussenried is a spa town in southern Germany known for its historic monastery complex and scenic location in Upper Swabia.
-
B.
Bad Birnbach
Bad Birnbach is a Bavarian spa town in southeastern Germany known for its thermal baths and rural, health-resort atmosphere.
-
C.
Bad Schönau
chosen
Bad Schönau is a small spa town in Lower Austria known for its therapeutic mineral springs and tranquil rural setting.
-
D.
Pfaffenwinkel
Pfaffenwinkel is a picturesque region in Upper Bavaria, Germany, renowned for its numerous historic churches, monasteries, and scenic Alpine foothill landscapes.
-
E.
Großharthau
Großharthau is a small municipality in the Free State of Saxony in eastern Germany, known for its rural character and proximity to the city of Dresden.
- 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f11fcb18748190a21071c122b7e6d5 |
completed | April 28, 2026, 8:59 p.m. |
Created at: April 16, 2026, 7:07 p.m.