Triple
T18265474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salem, Baden-Württemberg |
E437471
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object | Mimmenhausen |
—
|
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: Mimmenhausen | Statement: [Salem, Baden-Württemberg, hasSubdivision, Mimmenhausen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mimmenhausen Context triple: [Salem, Baden-Württemberg, hasSubdivision, Mimmenhausen]
-
A.
Mimmenhausen
chosen
Mimmenhausen is a village in the Bodenseekreis district of Baden-Württemberg, Germany, now incorporated into the municipality of Salem.
-
B.
Emmenhausen
Emmenhausen is a small village that forms part of the municipality of Bovenden in Lower Saxony, Germany.
-
C.
Haimhausen
Haimhausen is a small municipality in Upper Bavaria, Germany, known for its historic castle and rural setting north of Munich.
-
D.
Nennhausen
Nennhausen is a rural municipality in the Havelland district of Brandenburg, Germany, known for its historic manor house and surrounding natural landscapes.
-
E.
Marlenheim
Marlenheim is a commune in northeastern France’s Alsace region, known as a historic wine-producing village and gateway to the area’s renowned vineyards and scenic countryside.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ff79851481909a4bbeb14fb00647 |
completed | April 19, 2026, 4:14 p.m. |
Created at: April 10, 2026, 10:34 a.m.