Triple
T15233870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Möhringen |
E364072
|
entity |
| Predicate | hasSubdistrict |
P747
|
FINISHED |
| Object | Möhringen-Mitte |
E364072
|
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: Möhringen-Mitte | Statement: [Möhringen, hasSubdistrict, Möhringen-Mitte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Möhringen-Mitte Context triple: [Möhringen, hasSubdistrict, Möhringen-Mitte]
-
A.
Möhringen
chosen
Möhringen is a district of Stuttgart in the German state of Baden-Württemberg, known as a residential area that also hosts U.S. military facilities.
-
B.
Mössingen
Mössingen is a town in the German state of Baden-Württemberg, located at the foot of the Swabian Jura and known for its scenic surroundings and regional industry.
-
C.
Möhrendorf
Möhrendorf is a small municipality in the Bavarian region of Franconia in Germany, known for its rural character and proximity to the city of Erlangen.
-
D.
Frankfurt (Main) Mühlberg
Frankfurt (Main) Mühlberg is a local railway and S-Bahn station in Frankfurt am Main, Germany, serving the city’s public transit network.
-
E.
Korntal-Münchingen
Korntal-Münchingen is a small town in the German state of Baden-Württemberg, near Stuttgart, known for its residential character and local industry.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007d7237081908dc17900ee66b64f |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd3dd5a081909a1a7fceda648c29 |
completed | May 9, 2026, 7:07 a.m. |
Created at: April 10, 2026, 3:12 a.m.