Triple
T17860797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oberaarsee |
E446065
|
entity |
| Predicate | outflow |
P967
|
FINISHED |
| Object | Oberaarbach |
—
|
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: Oberaarbach | Statement: [Oberaarsee, outflow, Oberaarbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oberaarbach Context triple: [Oberaarsee, outflow, Oberaarbach]
-
A.
Oberaarbach
chosen
Oberaarbach is a mountain stream in the Swiss Alps that feeds into the Hasli-Aare basin.
-
B.
Obersüßbach
Obersüßbach is a small municipality in the Landshut district of Lower Bavaria in southeastern Germany.
-
C.
Oberreichenbach
Oberreichenbach is a small municipality in the Erlangen-Höchstadt district of Bavaria, Germany, characterized by its rural setting and local community life.
-
D.
Oberreichenbach
Oberreichenbach is a small municipality in the northern Black Forest region of Baden-Württemberg in southwestern Germany.
-
E.
Vöhrenbach
Vöhrenbach is a small town in the Black Forest region of Baden-Württemberg, Germany, known for its picturesque setting and traditional clockmaking heritage.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4979013dc8190beb7718f0ba92bc3 |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 10:17 a.m.