Triple
T7994731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aurach |
E186094
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Middle Franconia |
E17540
|
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: Middle Franconia | Statement: [Aurach, locatedIn, Middle Franconia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Middle Franconia Context triple: [Aurach, locatedIn, Middle Franconia]
-
A.
Middle Franconia
chosen
Middle Franconia is an administrative region in the German state of Bavaria, known for cities such as Nuremberg, Erlangen, and Fürth.
-
B.
Lower Franconia
Lower Franconia is an administrative region in northwestern Bavaria, Germany, known for its historic cities like Würzburg and its prominent wine-growing areas along the Main River.
-
C.
Upper Franconia
Upper Franconia is a region in northern Bavaria, Germany, known for its historic towns, dense concentration of breweries, and rich Franconian cultural heritage.
-
D.
Middle Hesse
Middle Hesse is a central region of the German state of Hesse known for its mix of historic university towns, industrial centers, and rural landscapes.
-
E.
Upper Palatinate
Upper Palatinate is a historical region in eastern Bavaria, Germany, known for its forests, rivers, and medieval towns near the Czech border.
- 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_69ca829c6c308190ab05b43d234c52b2 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c73ba388190bcedc29fbdd22f3c |
completed | March 31, 2026, 3:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63bcae048190a3fd151b2d8f9f77 |
completed | April 1, 2026, 12:15 a.m. |
Created at: March 30, 2026, 5:17 p.m.