Triple
T9439527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lahn-Dill-Kreis |
E227605
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Siegbach
Siegbach is a small rural municipality in the German state of Hesse, known for its scenic location within the wooded hills of central Germany.
|
E803193
|
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: Siegbach | Statement: [Lahn-Dill-Kreis, hasMunicipality, Siegbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siegbach Context triple: [Lahn-Dill-Kreis, hasMunicipality, Siegbach]
-
A.
Nideggen
Nideggen is a historic town in North Rhine-Westphalia, Germany, known for its medieval castle and scenic location in the Eifel region.
-
B.
Orisbach
Orisbach is a small stream in Switzerland that serves as a tributary of the Ergolz River in the canton of Basel-Landschaft.
-
C.
Schwarzenbach
Schwarzenbach is a small river in Switzerland that serves as a tributary of the Murg.
-
D.
Ingersheim
Ingersheim is a small municipality in the German state of Baden-Württemberg, known as the birthplace of resistance member Hans Scholl of the White Rose movement.
-
E.
Scheyern
Scheyern is a Bavarian municipality best known as the site of Scheyern Abbey, a historic Benedictine monastery and ancestral seat of the Wittelsbach family.
- 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: Siegbach Triple: [Lahn-Dill-Kreis, hasMunicipality, Siegbach]
Generated description
Siegbach is a small rural municipality in the German state of Hesse, known for its scenic location within the wooded hills of central Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Siegbach Target entity description: Siegbach is a small rural municipality in the German state of Hesse, known for its scenic location within the wooded hills of central Germany.
-
A.
Nideggen
Nideggen is a historic town in North Rhine-Westphalia, Germany, known for its medieval castle and scenic location in the Eifel region.
-
B.
Orisbach
Orisbach is a small stream in Switzerland that serves as a tributary of the Ergolz River in the canton of Basel-Landschaft.
-
C.
Schwarzenbach
Schwarzenbach is a small river in Switzerland that serves as a tributary of the Murg.
-
D.
Ingersheim
Ingersheim is a small municipality in the German state of Baden-Württemberg, known as the birthplace of resistance member Hans Scholl of the White Rose movement.
-
E.
Scheyern
Scheyern is a Bavarian municipality best known as the site of Scheyern Abbey, a historic Benedictine monastery and ancestral seat of the Wittelsbach family.
- 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_69ca843884488190ad6cbe0153088234 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7ee36f908190826994db91b18466 |
completed | April 1, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d139db9d1081908e2014d6f0e7e925 |
completed | April 4, 2026, 4:18 p.m. |
| NEDg | Description generation | batch_69d13a8e79b081908d5b4dce125df678 |
completed | April 4, 2026, 4:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d13b1d2cb481908cdcbeb1a6c81794 |
completed | April 4, 2026, 4:23 p.m. |
Created at: March 30, 2026, 7:50 p.m.