Triple
T5472920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reuss principalities |
E122878
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Reuss-Ebersdorf
Reuss-Ebersdorf was a small historical German principality ruled by a branch of the House of Reuss within the Holy Roman Empire and its successor states.
|
E527608
|
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: Reuss-Ebersdorf | Statement: [Reuss principalities, hasPart, Reuss-Ebersdorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reuss-Ebersdorf Context triple: [Reuss principalities, hasPart, Reuss-Ebersdorf]
-
A.
Ebersberg
Ebersberg is a small Bavarian town and district capital east of Munich, known for its surrounding forest and traditional Upper Bavarian character.
-
B.
Tussenhausen
Tussenhausen is a municipality in the district of Unterallgäu in Bavaria, Germany, known for its rural character and small villages such as Mattsies.
-
C.
Tirschenreuth
Tirschenreuth is a town in northeastern Bavaria, Germany, known for its historic town center and surrounding lake and pond landscapes.
-
D.
Rauental
Rauental is a district of the German town of Rastatt in the state of Baden-Württemberg.
-
E.
Eggenfelden
Eggenfelden is a town in southeastern Germany known as a local commercial and cultural center within the region of Lower Bavaria.
- 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: Reuss-Ebersdorf Triple: [Reuss principalities, hasPart, Reuss-Ebersdorf]
Generated description
Reuss-Ebersdorf was a small historical German principality ruled by a branch of the House of Reuss within the Holy Roman Empire and its successor states.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Reuss-Ebersdorf Target entity description: Reuss-Ebersdorf was a small historical German principality ruled by a branch of the House of Reuss within the Holy Roman Empire and its successor states.
-
A.
Ebersberg
Ebersberg is a small Bavarian town and district capital east of Munich, known for its surrounding forest and traditional Upper Bavarian character.
-
B.
Tussenhausen
Tussenhausen is a municipality in the district of Unterallgäu in Bavaria, Germany, known for its rural character and small villages such as Mattsies.
-
C.
Tirschenreuth
Tirschenreuth is a town in northeastern Bavaria, Germany, known for its historic town center and surrounding lake and pond landscapes.
-
D.
Rauental
Rauental is a district of the German town of Rastatt in the state of Baden-Württemberg.
-
E.
Eggenfelden
Eggenfelden is a town in southeastern Germany known as a local commercial and cultural center within the region of Lower Bavaria.
- 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_69bd46459ff48190823377457bcf7128 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd9230d6d88190a9ac48a4488e1754 |
completed | March 20, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bff4ad59748190873288afe4a48878 |
completed | March 22, 2026, 1:54 p.m. |
| NEDg | Description generation | batch_69bff51d483c8190b20e9e669306ad86 |
completed | March 22, 2026, 1:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bff568ccd481908722129292d6e472 |
completed | March 22, 2026, 1:58 p.m. |
Created at: March 20, 2026, 2:09 p.m.