Triple
T15187727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayen-Koblenz |
E362920
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Waldesch
Waldesch is a small municipality in western Germany’s Rhineland-Palatinate region, situated near the Rhine and Moselle rivers.
|
E1142341
|
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: Waldesch | Statement: [Mayen-Koblenz, containsMunicipality, Waldesch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waldesch Context triple: [Mayen-Koblenz, containsMunicipality, Waldesch]
-
A.
Heuckewalde
Heuckewalde is a small municipality in the German state of Saxony-Anhalt that forms part of the broader Leipzig metropolitan region.
-
B.
Wieseck
Wieseck is a small river in the German state of Hesse that flows through the city of Giessen and its surrounding region.
-
C.
Walde
Walde is a diminutive or short form of the given name Waldemar, used as a familiar or affectionate variant.
-
D.
Habichtswald
Habichtswald is a low mountain range and forested natural area in central Germany, known for its scenic landscapes and hiking trails near the city of Kassel.
-
E.
Eschwege
Eschwege is a small historic town in the German state of Hesse, known for its medieval architecture and location near the Werra River.
- 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: Waldesch Triple: [Mayen-Koblenz, containsMunicipality, Waldesch]
Generated description
Waldesch is a small municipality in western Germany’s Rhineland-Palatinate region, situated near the Rhine and Moselle rivers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Waldesch Target entity description: Waldesch is a small municipality in western Germany’s Rhineland-Palatinate region, situated near the Rhine and Moselle rivers.
-
A.
Heuckewalde
Heuckewalde is a small municipality in the German state of Saxony-Anhalt that forms part of the broader Leipzig metropolitan region.
-
B.
Wieseck
Wieseck is a small river in the German state of Hesse that flows through the city of Giessen and its surrounding region.
-
C.
Walde
Walde is a diminutive or short form of the given name Waldemar, used as a familiar or affectionate variant.
-
D.
Habichtswald
Habichtswald is a low mountain range and forested natural area in central Germany, known for its scenic landscapes and hiking trails near the city of Kassel.
-
E.
Eschwege
Eschwege is a small historic town in the German state of Hesse, known for its medieval architecture and location near the Werra River.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067995fc8190b048f15086bd42f0 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec895b59c81908a09f8393a35aa13 |
completed | May 9, 2026, 5:39 a.m. |
| NEDg | Description generation | batch_69fec9ece2fc8190811e83185cdb4dfc |
completed | May 9, 2026, 5:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fecc58d7b0819082090b6205b77b16 |
completed | May 9, 2026, 5:55 a.m. |
Created at: April 10, 2026, 3:09 a.m.