Triple
T16479788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breisgau-Hochschwarzwald |
E400283
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Heitersheim
Heitersheim is a small historic town in southwestern Germany’s Baden-Württemberg region, known for its former role as the seat of the Grand Priory of the Knights Hospitaller.
|
E1236578
|
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: Heitersheim | Statement: [Breisgau-Hochschwarzwald, contains, Heitersheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heitersheim Context triple: [Breisgau-Hochschwarzwald, contains, Heitersheim]
-
A.
Nettersheim
Nettersheim is a municipality in the Eifel region of North Rhine-Westphalia, Germany, known for its natural landscapes and archaeological sites.
-
B.
Höchheim
Höchheim is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany.
-
C.
Griesheim
Griesheim is a town in the German state of Hesse, located near the city of Darmstadt and known for its residential character and local industry.
-
D.
Schweinheim
Schweinheim is a residential district within the Bad Godesberg borough of Bonn in western Germany.
-
E.
Büdesheim
Büdesheim is a district (Stadtteil) of the town Bingen am Rhein in the German state of 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: Heitersheim Triple: [Breisgau-Hochschwarzwald, contains, Heitersheim]
Generated description
Heitersheim is a small historic town in southwestern Germany’s Baden-Württemberg region, known for its former role as the seat of the Grand Priory of the Knights Hospitaller.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Heitersheim Target entity description: Heitersheim is a small historic town in southwestern Germany’s Baden-Württemberg region, known for its former role as the seat of the Grand Priory of the Knights Hospitaller.
-
A.
Nettersheim
Nettersheim is a municipality in the Eifel region of North Rhine-Westphalia, Germany, known for its natural landscapes and archaeological sites.
-
B.
Höchheim
Höchheim is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany.
-
C.
Griesheim
Griesheim is a town in the German state of Hesse, located near the city of Darmstadt and known for its residential character and local industry.
-
D.
Schweinheim
Schweinheim is a residential district within the Bad Godesberg borough of Bonn in western Germany.
-
E.
Büdesheim
Büdesheim is a district (Stadtteil) of the town Bingen am Rhein in the German state of 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e01f6c88190b75a0d6c94786426 |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bafe159c8190b66d2cd21b8ddb88 |
completed | May 10, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_6a00bbd9260c8190be29ee8cb3e05f2c |
completed | May 10, 2026, 5:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00bc633abc8190a86808986ba294ec |
completed | May 10, 2026, 5:12 p.m. |
Created at: April 10, 2026, 5:13 a.m.