Triple
T18715316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eifel region |
E457622
|
entity |
| Predicate | hasSubregion |
P285
|
FINISHED |
| Object |
Osteifel
Osteifel is the eastern part of Germany’s Eifel region, known for its volcanic landscapes, rolling hills, and rural villages.
|
E1338358
|
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: Osteifel | Statement: [Eifel region, hasSubregion, Osteifel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Osteifel Context triple: [Eifel region, hasSubregion, Osteifel]
-
A.
Mohrungen
Mohrungen is a historic town in former East Prussia (now Morąg in northern Poland), known as the birthplace of philosopher and theologian Johann Gottfried Herder.
-
B.
Baerenthal
Baerenthal is a small village in northeastern France’s Moselle department, known for its forested landscapes and location within the Pays de Bitche region.
-
C.
Hellenstein
Hellenstein is the historical namesake associated with Hellenstein Castle, a prominent medieval fortress in Heidenheim, Germany.
-
D.
Biedenkopf
Biedenkopf is a small historic town in the German state of Hesse, known for its medieval old town and hilltop castle.
-
E.
Kaufering
Kaufering is a municipality in Bavaria, Germany, known historically for its World War II subcamps of Dachau and its location near the town of Landsberg am Lech.
- 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: Osteifel Triple: [Eifel region, hasSubregion, Osteifel]
Generated description
Osteifel is the eastern part of Germany’s Eifel region, known for its volcanic landscapes, rolling hills, and rural villages.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Osteifel Target entity description: Osteifel is the eastern part of Germany’s Eifel region, known for its volcanic landscapes, rolling hills, and rural villages.
-
A.
Mohrungen
Mohrungen is a historic town in former East Prussia (now Morąg in northern Poland), known as the birthplace of philosopher and theologian Johann Gottfried Herder.
-
B.
Baerenthal
Baerenthal is a small village in northeastern France’s Moselle department, known for its forested landscapes and location within the Pays de Bitche region.
-
C.
Hellenstein
Hellenstein is the historical namesake associated with Hellenstein Castle, a prominent medieval fortress in Heidenheim, Germany.
-
D.
Biedenkopf
Biedenkopf is a small historic town in the German state of Hesse, known for its medieval old town and hilltop castle.
-
E.
Kaufering
Kaufering is a municipality in Bavaria, Germany, known historically for its World War II subcamps of Dachau and its location near the town of Landsberg am Lech.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56ab611bc819085164f252ac3a390 |
completed | April 19, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a052b43526481909c49cf343e4117a9 |
completed | May 14, 2026, 1:54 a.m. |
| NEDg | Description generation | batch_6a052c813048819084870287ed9dce27 |
completed | May 14, 2026, 1:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a052cec9c788190a0c9396b35dd95c0 |
completed | May 14, 2026, 2:01 a.m. |
Created at: April 10, 2026, 11:50 a.m.