Triple
T19827592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eugen von Lommel |
E476367
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Edenkoben |
—
|
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: Edenkoben | Statement: [Eugen von Lommel, placeOfBirth, Edenkoben]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edenkoben Context triple: [Eugen von Lommel, placeOfBirth, Edenkoben]
-
A.
Edenkoben
chosen
Edenkoben is a small town in the Palatinate region of Rhineland-Palatinate, Germany, known for its wine production and picturesque location along the German Wine Route.
-
B.
Machtolsheim
Machtolsheim is a village in the Alb-Donau district of Baden-Württemberg, Germany, that forms part of the town of Laichingen.
-
C.
Herisau
Herisau is a Swiss town that serves as the administrative and economic center of the canton of Appenzell Ausserrhoden.
-
D.
Kalchreuth
Kalchreuth is a small municipality in northern Bavaria, Germany, known for its rural character and proximity to the cities of Erlangen and Nuremberg.
-
E.
Falkenfels
Falkenfels is a small municipality in the district of Straubing-Bogen in the Bavarian region of 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656cc0f2c81908137caa4c2087027 |
completed | April 20, 2026, 4:39 p.m. |
Created at: April 10, 2026, 1:50 p.m.