Triple
T20483292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rupertiwinkel |
E502518
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Feichten an der Alz |
—
|
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: Feichten an der Alz | Statement: [Rupertiwinkel, containsSettlement, Feichten an der Alz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Feichten an der Alz Context triple: [Rupertiwinkel, containsSettlement, Feichten an der Alz]
-
A.
Feichten an der Alz
chosen
Feichten an der Alz is a small municipality in the Altötting district of Bavaria, Germany, situated along the Alz River.
-
B.
Fiescherbach
Fiescherbach is a mountain stream in the Swiss Alps that flows through the village of Fiesch in the canton of Valais.
-
C.
Faulbach
Faulbach is a district (Ortsteil) of the town of Hadamar in the Limburg-Weilburg district of Hesse, Germany.
-
D.
Feldbach
Feldbach is a small town in southeastern Austria known for its historic center and location in the Styrian volcanic region.
-
E.
Schorbach
Schorbach is a small commune in northeastern France, situated in the Moselle department within the historically and geographically distinct Pays de Bitche region.
- 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_69e0b4af32848190aea80682b44d5d6e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69b58c4b4819083d0ba2397dbfb0b |
completed | April 20, 2026, 9:32 p.m. |
Created at: April 16, 2026, 11:34 a.m.