Triple
T20029456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bergstraße district |
E495081
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Lampertheim
Lampertheim is a town in the German state of Hesse, known for its agricultural surroundings and location near the Rhine River.
|
E1433676
|
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: Lampertheim | Statement: [Bergstraße district, contains, Lampertheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lampertheim Context triple: [Bergstraße district, contains, Lampertheim]
-
A.
Lichtenfels
Lichtenfels is a small town in the Waldeck-Frankenberg district of northern Hesse, Germany, known for its rural setting and proximity to the Edersee and Kellerwald-Edersee National Park.
-
B.
Lichtenfels
Lichtenfels is a town in the Upper Franconia region of Bavaria, Germany, known for its basket-making tradition and historic architecture.
-
C.
Lülsfeld
Lülsfeld is a small municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
-
D.
Lauterhofen
Lauterhofen is a market town in Bavaria, Germany, known for its rural character and location within the Upper Palatinate region.
-
E.
Nassfeld
Nassfeld is a major ski and alpine resort area in the Austrian Alps, known for its extensive slopes and modern winter sports facilities.
- 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: Lampertheim Triple: [Bergstraße district, contains, Lampertheim]
Generated description
Lampertheim is a town in the German state of Hesse, known for its agricultural surroundings and location near the Rhine River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lampertheim Target entity description: Lampertheim is a town in the German state of Hesse, known for its agricultural surroundings and location near the Rhine River.
-
A.
Lichtenfels
Lichtenfels is a town in the Upper Franconia region of Bavaria, Germany, known for its basket-making tradition and historic architecture.
-
B.
Lichtenfels
Lichtenfels is a small town in the Waldeck-Frankenberg district of northern Hesse, Germany, known for its rural setting and proximity to the Edersee and Kellerwald-Edersee National Park.
-
C.
Lülsfeld
Lülsfeld is a small municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
-
D.
Lauterhofen
Lauterhofen is a market town in Bavaria, Germany, known for its rural character and location within the Upper Palatinate region.
-
E.
Nassfeld
Nassfeld is a major ski and alpine resort area in the Austrian Alps, known for its extensive slopes and modern winter sports facilities.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662908df081909a6c8ccf0dd90fff |
completed | April 20, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a089399e7b88190864e9000384d098f |
completed | May 16, 2026, 3:56 p.m. |
| NEDg | Description generation | batch_6a08943ff9b08190aa420d0d2f8d9723 |
completed | May 16, 2026, 3:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a089497f8fc81909e1ef6ace3d8336f |
completed | May 16, 2026, 4 p.m. |
Created at: April 11, 2026, 3:36 p.m.