Triple
T21295476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Ludwig August of Saxe-Coburg and Gotha |
E524908
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Kleinheubach |
—
|
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: Kleinheubach | Statement: [Prince Ludwig August of Saxe-Coburg and Gotha, placeOfBirth, Kleinheubach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kleinheubach Context triple: [Prince Ludwig August of Saxe-Coburg and Gotha, placeOfBirth, Kleinheubach]
-
A.
Kleinheubach
chosen
Kleinheubach is a small market town in Lower Franconia, Bavaria, Germany, known for its historic noble residences and riverside setting along the Main.
-
B.
Heroldsbach
Heroldsbach is a small municipality in the Upper Franconia region of Bavaria, Germany, known for its rural character and local religious pilgrimage site.
-
C.
Buhlbach
Buhlbach is a small locality or district within the Black Forest municipality of Baiersbronn in southwestern Germany.
-
D.
Oberreichenbach
Oberreichenbach is a small municipality in the Erlangen-Höchstadt district of Bavaria, Germany, characterized by its rural setting and local community life.
-
E.
Oberreichenbach
Oberreichenbach is a small municipality in the northern Black Forest region of Baden-Württemberg in southwestern Germany.
- 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73857784881908c3b8418a4c00c1e |
completed | April 21, 2026, 8:41 a.m. |
Created at: April 16, 2026, 4:04 p.m.