Triple
T18895158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oels |
E462193
|
entity |
| Predicate | GermanName |
P6492
|
FINISHED |
| Object | Oels |
—
|
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: Oels | Statement: [Oels, GermanName, Oels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oels Context triple: [Oels, GermanName, Oels]
-
A.
Oels
chosen
Oels is a town in present-day Oleśnica, Poland, historically part of Silesia and known as the birthplace of notable figures such as the German artist Sigmar Polke.
-
B.
Elsau
Elsau is a municipality in the canton of Zurich in Switzerland, known for its rural character and proximity to the city of Winterthur.
-
C.
Oelshausen
Oelshausen is a small village that forms one of the constituent localities of the town of Zierenberg in the German state of Hesse.
-
D.
Heroldsberg
Heroldsberg is a municipality in the Erlangen-Höchstadt district of Bavaria, Germany, known for its historic center and proximity to the city of Nuremberg.
-
E.
Maschteich
Maschteich is an artificial pond in Hanover, Germany, situated in the Maschpark near the New Town Hall and known for its scenic urban green setting.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c47eb0688190882c68d0d6fa9348 |
completed | April 20, 2026, 6:15 a.m. |
Created at: April 10, 2026, 11:58 a.m.