Triple
T11130787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Troisvierges |
E263272
|
entity |
| Predicate | hasLocality |
P7943
|
FINISHED |
| Object |
Maulusmühle
Maulusmühle is a small locality in northern Luxembourg, situated within the commune of Troisvierges near the Belgian border.
|
E907725
|
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: Maulusmühle | Statement: [Troisvierges, hasLocality, Maulusmühle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maulusmühle Context triple: [Troisvierges, hasLocality, Maulusmühle]
-
A.
Aumühle
Aumühle is a small municipality in northern Germany, known in part as the place where former German Grand Admiral and President Karl Dönitz died.
-
B.
Hüttermühle
Hüttermühle is a small locality that forms part of the town of Genthin in the German state of Saxony-Anhalt.
-
C.
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.
-
D.
Eggermühlen
Eggermühlen is a small rural municipality in Lower Saxony, Germany, situated within the Osnabrück district.
-
E.
Hudemühlen
Hudemühlen is a locality in the municipality of Hodenhagen in Lower Saxony, Germany, historically known for the former Hudemühlen Castle.
- 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: Maulusmühle Triple: [Troisvierges, hasLocality, Maulusmühle]
Generated description
Maulusmühle is a small locality in northern Luxembourg, situated within the commune of Troisvierges near the Belgian border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maulusmühle Target entity description: Maulusmühle is a small locality in northern Luxembourg, situated within the commune of Troisvierges near the Belgian border.
-
A.
Aumühle
Aumühle is a small municipality in northern Germany, known in part as the place where former German Grand Admiral and President Karl Dönitz died.
-
B.
Hüttermühle
Hüttermühle is a small locality that forms part of the town of Genthin in the German state of Saxony-Anhalt.
-
C.
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.
-
D.
Eggermühlen
Eggermühlen is a small rural municipality in Lower Saxony, Germany, situated within the Osnabrück district.
-
E.
Hudemühlen
Hudemühlen is a locality in the municipality of Hodenhagen in Lower Saxony, Germany, historically known for the former Hudemühlen Castle.
- 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e831f4808190afabdaa0e97bbe32 |
completed | April 9, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e441e6b72881908f8288e99df0cb7c |
completed | April 19, 2026, 2:45 a.m. |
| NEDg | Description generation | batch_69e44c09163481909d6a469b1e50b6ff |
completed | April 19, 2026, 3:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4519f4d408190be9863c72006ecad |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 8, 2026, 9:28 p.m.