Triple
T19807705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eberhard von Mackensen |
E475857
|
entity |
| Predicate | deathPlace |
P21
|
FINISHED |
| Object |
Alt Mühlendorf
Alt Mühlendorf is a locality in Germany known historically as the place where German Wehrmacht general Eberhard von Mackensen died.
|
E1395518
|
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: Alt Mühlendorf | Statement: [Eberhard von Mackensen, deathPlace, Alt Mühlendorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alt Mühlendorf Context triple: [Eberhard von Mackensen, deathPlace, Alt Mühlendorf]
-
A.
Mühldorf
Mühldorf is a municipality in the Austrian state of Carinthia, known for its Alpine setting and proximity to the Drava River.
-
B.
Hademstorf
Hademstorf is a small municipality in Lower Saxony, Germany, situated in the Heidekreis district.
-
C.
Hagsdorf
Hagsdorf is a small locality that forms part of the municipality of Persenbeug-Gottsdorf in Lower Austria.
-
D.
Sendenhorst
Sendenhorst is a small town in the German state of North Rhine-Westphalia, known for its rural character and location in the Münsterland region.
-
E.
Lengsdorf
Lengsdorf is a district of the Bonn borough of Hardtberg in Germany, known for its residential character and proximity to both urban amenities and surrounding green areas.
- 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: Alt Mühlendorf Triple: [Eberhard von Mackensen, deathPlace, Alt Mühlendorf]
Generated description
Alt Mühlendorf is a locality in Germany known historically as the place where German Wehrmacht general Eberhard von Mackensen died.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alt Mühlendorf Target entity description: Alt Mühlendorf is a locality in Germany known historically as the place where German Wehrmacht general Eberhard von Mackensen died.
-
A.
Mühldorf
Mühldorf is a municipality in the Austrian state of Carinthia, known for its Alpine setting and proximity to the Drava River.
-
B.
Hademstorf
Hademstorf is a small municipality in Lower Saxony, Germany, situated in the Heidekreis district.
-
C.
Hagsdorf
Hagsdorf is a small locality that forms part of the municipality of Persenbeug-Gottsdorf in Lower Austria.
-
D.
Sendenhorst
Sendenhorst is a small town in the German state of North Rhine-Westphalia, known for its rural character and location in the Münsterland region.
-
E.
Lengsdorf
Lengsdorf is a district of the Bonn borough of Hardtberg in Germany, known for its residential character and proximity to both urban amenities and surrounding green areas.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65428f5c48190be6ae0d6a77675d2 |
completed | April 20, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07c50e7bbc81908808e8e734f6a360 |
completed | May 16, 2026, 1:14 a.m. |
| NEDg | Description generation | batch_6a07c6c26e708190aeb42569dc5e107c |
completed | May 16, 2026, 1:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07c7549de08190916e3e48125beebb |
completed | May 16, 2026, 1:24 a.m. |
Created at: April 10, 2026, 1:49 p.m.