Triple
T13110541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greiz |
E310957
|
entity |
| Predicate | hasNeighbouringMunicipality |
P224
|
FINISHED |
| Object |
Neumühle/Elster
Neumühle/Elster is a small municipality in the district of Greiz in the eastern German state of Thuringia.
|
E1023070
|
NE FINISHED |
How this triple was built (4 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: Neumühle/Elster | Statement: [Greiz, hasNeighbouringMunicipality, Neumühle/Elster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neumühle/Elster Context triple: [Greiz, hasNeighbouringMunicipality, Neumühle/Elster]
-
A.
Neumühl
Neumühl is a district of the town of Kehl in the German state of Baden-Württemberg, located near the French border by Strasbourg.
-
B.
Mühlingen
Mühlingen is a small municipality in the state of Baden-Württemberg in southern Germany.
-
C.
Eckersmühlen
Eckersmühlen is a village and district of the town of Roth in the Bavarian region of Germany.
-
D.
Pleistermühle
Pleistermühle is a popular riverside leisure and recreation spot on the Werse near Münster, Germany, known for activities like cycling, canoeing, and relaxing by the water.
-
E.
Elsterwerda
Elsterwerda is a small town in the state of Brandenburg in eastern Germany, known for its regional railway connections and location near the Elbe-Elster district.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Neumühle/Elster Triple: [Greiz, hasNeighbouringMunicipality, Neumühle/Elster]
Generated description
Neumühle/Elster is a small municipality in the district of Greiz in the eastern German state of Thuringia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Neumühle/Elster Target entity description: Neumühle/Elster is a small municipality in the district of Greiz in the eastern German state of Thuringia.
-
A.
Neumühl
Neumühl is a district of the town of Kehl in the German state of Baden-Württemberg, located near the French border by Strasbourg.
-
B.
Mühlingen
Mühlingen is a small municipality in the state of Baden-Württemberg in southern Germany.
-
C.
Eckersmühlen
Eckersmühlen is a village and district of the town of Roth in the Bavarian region of Germany.
-
D.
Pleistermühle
Pleistermühle is a popular riverside leisure and recreation spot on the Werse near Münster, Germany, known for activities like cycling, canoeing, and relaxing by the water.
-
E.
Elsterwerda
Elsterwerda is a small town in the state of Brandenburg in eastern Germany, known for its regional railway connections and location near the Elbe-Elster district.
- F. None of above. chosen
Provenance (5 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817e4f408190b77c198b4157d77a |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e27d8110819087ade3537f867ae0 |
completed | May 3, 2026, 5:51 a.m. |
| NEDg | Description generation | batch_69f6e4c5e2888190b0bfcdf2cc25ad5f |
completed | May 3, 2026, 6:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6e5979df881909db42a735b9b1064 |
completed | May 3, 2026, 6:05 a.m. |
Created at: April 9, 2026, 9:05 p.m.