Triple
T18128379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landkreis Neustadt an der Aisch-Bad Windsheim |
E433942
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Langenfeld (Mittelfranken) |
—
|
NE NERFINISHED |
How this triple was built (3 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: Langenfeld (Mittelfranken) | Statement: [Landkreis Neustadt an der Aisch-Bad Windsheim, hasMunicipality, Langenfeld (Mittelfranken)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langenfeld (Mittelfranken) Context triple: [Landkreis Neustadt an der Aisch-Bad Windsheim, hasMunicipality, Langenfeld (Mittelfranken)]
-
A.
Langen (Hesse)
Langen (Hesse) is a town in the Offenbach district of Hesse, Germany, situated between Frankfurt am Main and Darmstadt and known for its residential character and transport connections.
-
B.
Langenfeld (Rheinland)
Langenfeld (Rheinland) is a town in North Rhine-Westphalia, Germany, situated between Düsseldorf and Cologne in the Rhine-Ruhr metropolitan region.
-
C.
Langen
Langen is a town in Germany known for its residential character and proximity to major urban centers like Frankfurt am Main.
-
D.
Nürnberg-Langwasser
Nürnberg-Langwasser is a district in the southeast of Nuremberg, Germany, known for its large residential areas and proximity to the city’s trade fair grounds.
-
E.
Langenfeld
Langenfeld is a town in western Germany, located in the state of North Rhine-Westphalia between Düsseldorf and Cologne.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Langenfeld (Mittelfranken) Target entity description: Langenfeld (Mittelfranken) is a small municipality in the Middle Franconia region of Bavaria, Germany, characterized by its rural setting and traditional Franconian village structure.
-
A.
Langen (Hesse)
Langen (Hesse) is a town in the Offenbach district of Hesse, Germany, situated between Frankfurt am Main and Darmstadt and known for its residential character and transport connections.
-
B.
Langenfeld (Rheinland)
Langenfeld (Rheinland) is a town in North Rhine-Westphalia, Germany, situated between Düsseldorf and Cologne in the Rhine-Ruhr metropolitan region.
-
C.
Langen
Langen is a town in Germany known for its residential character and proximity to major urban centers like Frankfurt am Main.
-
D.
Nürnberg-Langwasser
Nürnberg-Langwasser is a district in the southeast of Nuremberg, Germany, known for its large residential areas and proximity to the city’s trade fair grounds.
-
E.
Langenfeld
Langenfeld is a town in western Germany, located in the state of North Rhine-Westphalia between Düsseldorf and Cologne.
- F. None of above. chosen
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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddf061b48190b67356f1c266b80a |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:29 a.m.