Triple
T20413525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Stütz |
E500645
|
entity |
| Predicate | workLocation |
P7
|
FINISHED |
| Object | Königsbronn |
—
|
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: Königsbronn | Statement: [Michael Stütz, workLocation, Königsbronn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Königsbronn Context triple: [Michael Stütz, workLocation, Königsbronn]
-
A.
Königsbronn
chosen
Königsbronn is a small municipality in the Ostalbkreis district of Baden-Württemberg in southern Germany, known for its scenic Swabian Jura landscape and historic ironworks.
-
B.
Kressbronn am Bodensee
Kressbronn am Bodensee is a lakeside municipality in southern Germany situated on the shores of Lake Constance in the state of Baden-Württemberg.
-
C.
Königsbrunn
Königsbrunn is a town in Bavaria, Germany, located just south of Augsburg and known as a residential and commercial suburb of the city.
-
D.
Maihingen
Maihingen is a small rural municipality in the Donau-Ries district of Bavaria in southern Germany.
-
E.
Brilon
Brilon is a historic town in the Hochsauerland region of North Rhine-Westphalia, Germany, known for its medieval center and surrounding forested landscapes.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a417f208190be9bc11650ee0a87 |
completed | April 20, 2026, 7:10 p.m. |
Created at: April 16, 2026, 11:30 a.m.