Triple
T20466821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laufen |
E502072
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Rupertiwinkel |
—
|
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: Rupertiwinkel | Statement: [Laufen, partOf, Rupertiwinkel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rupertiwinkel Context triple: [Laufen, partOf, Rupertiwinkel]
-
A.
Rupertiwinkel
chosen
Rupertiwinkel is a historic cultural region in southeastern Bavaria, Germany, known for its picturesque Alpine foothills, traditional villages, and proximity to the Austrian border.
-
B.
Pfaffenwinkel
Pfaffenwinkel is a picturesque region in Upper Bavaria, Germany, renowned for its numerous historic churches, monasteries, and scenic Alpine foothill landscapes.
-
C.
Seewinkel
Seewinkel is a low-lying, lake-dotted region in eastern Austria known for its steppe-like landscape, birdlife, and wine production near Lake Neusiedl.
-
D.
Wirsberg
Wirsberg is a small market town in the Upper Franconia region of Bavaria, Germany, known for its scenic location in the Franconian Forest and its historic architecture.
-
E.
Wackersberg
Wackersberg is a rural Bavarian municipality in southern Germany, known for its scenic Alpine foothills and traditional village character.
- 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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6995d9d1c81909ee223a35a0850ba |
completed | April 20, 2026, 9:23 p.m. |
Created at: April 16, 2026, 11:33 a.m.