Triple
T16124970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aichach-Friedberg |
E391244
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Schmiechen |
E798943
|
NE FINISHED |
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: Schmiechen | Statement: [Aichach-Friedberg, hasMunicipality, Schmiechen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schmiechen Context triple: [Aichach-Friedberg, hasMunicipality, Schmiechen]
-
A.
Schmiechen
chosen
Schmiechen is a small municipality in the Bavarian region of Germany, situated within the administrative area surrounding the city of Augsburg.
-
B.
Snuggle
Snuggle is a popular brand of fabric softener and dryer sheets known for its cuddly bear mascot and focus on softness and fresh scent.
-
C.
Schmutter
The Schmutter is a river in Bavaria, Germany, known as a regional tributary that flows through the Swabian landscape before joining the Wertach.
-
D.
Knuffingen
Knuffingen is a fictional miniature city featured in Hamburg’s Miniatur Wunderland, known for its detailed urban landscape and automated model railway and traffic systems.
-
E.
Schmiecha
Schmiecha is a small river in the Swabian Jura region of Baden-Württemberg, Germany.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2020408a88190bf3dfc893d577c55 |
completed | April 17, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2a9db848190bafb959bd7511246 |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 5 a.m.