Triple
T23089468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blomberg (Lippe) |
E575703
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Siebenhöfen
Siebenhöfen is a small locality that forms part of the town of Blomberg in the Lippe district of North Rhine-Westphalia, Germany.
|
E1571944
|
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: Siebenhöfen | Statement: [Blomberg (Lippe), hasSubdivision, Siebenhöfen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siebenhöfen Context triple: [Blomberg (Lippe), hasSubdivision, Siebenhöfen]
-
A.
Taufstein
Taufstein is a prominent hill in the Vogelsberg mountain range in Hesse, Germany, known for its basalt formations and surrounding forested landscape.
-
B.
Hohenthann
Hohenthann is a rural municipality in Lower Bavaria, Germany, known for its agricultural character and location within the Landshut district.
-
C.
Todtnau
Todtnau is a small town in Germany’s Black Forest region, known for its mountainous scenery, outdoor recreation, and proximity to the Feldberg peak.
-
D.
Pfaffenwinkel
Pfaffenwinkel is a picturesque region in Upper Bavaria, Germany, renowned for its numerous historic churches, monasteries, and scenic Alpine foothill landscapes.
-
E.
Tiefenstein
Tiefenstein is a district of the German town Idar-Oberstein, known as part of the Hunsrück region in Rhineland-Palatinate.
- 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: Siebenhöfen Triple: [Blomberg (Lippe), hasSubdivision, Siebenhöfen]
Generated description
Siebenhöfen is a small locality that forms part of the town of Blomberg in the Lippe district of North Rhine-Westphalia, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Siebenhöfen Target entity description: Siebenhöfen is a small locality that forms part of the town of Blomberg in the Lippe district of North Rhine-Westphalia, Germany.
-
A.
Taufstein
Taufstein is a prominent hill in the Vogelsberg mountain range in Hesse, Germany, known for its basalt formations and surrounding forested landscape.
-
B.
Hohenthann
Hohenthann is a rural municipality in Lower Bavaria, Germany, known for its agricultural character and location within the Landshut district.
-
C.
Todtnau
Todtnau is a small town in Germany’s Black Forest region, known for its mountainous scenery, outdoor recreation, and proximity to the Feldberg peak.
-
D.
Pfaffenwinkel
Pfaffenwinkel is a picturesque region in Upper Bavaria, Germany, renowned for its numerous historic churches, monasteries, and scenic Alpine foothill landscapes.
-
E.
Tiefenstein
Tiefenstein is a district of the German town Idar-Oberstein, known as part of the Hunsrück region in Rhineland-Palatinate.
- 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_69e245bf3e3c819086d3448720efc01b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18da8818481908d768a0462f3f837 |
completed | April 29, 2026, 4:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c23de69988190bd7deabb19327bb4 |
completed | May 19, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_6a0c271d8fc48190a818c73660218022 |
completed | May 19, 2026, 9:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c2951a718819088c1c7d8435586ec |
completed | May 19, 2026, 9:11 a.m. |
Created at: April 17, 2026, 3:57 p.m.