Triple
T18046154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rheingau-Taunus-Kreis |
E431777
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Hohenstein
Hohenstein is a small municipality in the Rheingau-Taunus district of the German state of Hesse, known for its rural character and scenic Taunus landscape.
|
E1316911
|
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: Hohenstein | Statement: [Rheingau-Taunus-Kreis, containsMunicipality, Hohenstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hohenstein Context triple: [Rheingau-Taunus-Kreis, containsMunicipality, Hohenstein]
-
A.
Hohenstein
Hohenstein is a municipality in the district of Reutlingen in the state of Baden-Württemberg in southwestern Germany.
-
B.
Hohenstein-Ernstthal
Hohenstein-Ernstthal is a small town in the German state of Saxony, known as the birthplace of adventure writer Karl May.
-
C.
Hohenwart
Hohenwart is a small municipality in Bavaria, Germany, known for its rural character and location within the Upper Bavarian region.
-
D.
Ochsenfeld
Ochsenfeld is a German surname most notably borne by physicist Robert Ochsenfeld, known for his work on superconductivity.
-
E.
Gersthofen
Gersthofen is a town in Bavaria, Germany, located just north of Augsburg and known for its industrial presence and role as a regional transport hub.
- 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: Hohenstein Triple: [Rheingau-Taunus-Kreis, containsMunicipality, Hohenstein]
Generated description
Hohenstein is a small municipality in the Rheingau-Taunus district of the German state of Hesse, known for its rural character and scenic Taunus landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hohenstein Target entity description: Hohenstein is a small municipality in the Rheingau-Taunus district of the German state of Hesse, known for its rural character and scenic Taunus landscape.
-
A.
Hohenstein
Hohenstein is a municipality in the district of Reutlingen in the state of Baden-Württemberg in southwestern Germany.
-
B.
Hohenstein-Ernstthal
Hohenstein-Ernstthal is a small town in the German state of Saxony, known as the birthplace of adventure writer Karl May.
-
C.
Hohenwart
Hohenwart is a small municipality in Bavaria, Germany, known for its rural character and location within the Upper Bavarian region.
-
D.
Ochsenfeld
Ochsenfeld is a German surname most notably borne by physicist Robert Ochsenfeld, known for his work on superconductivity.
-
E.
Gersthofen
Gersthofen is a town in Bavaria, Germany, located just north of Augsburg and known for its industrial presence and role as a regional transport hub.
- 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4bff202088190ae971879348e2294 |
completed | April 19, 2026, 11:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03bb4157408190bbdd21e8c46f547c |
completed | May 12, 2026, 11:44 p.m. |
| NEDg | Description generation | batch_6a03bc634e948190bc507cc359262736 |
completed | May 12, 2026, 11:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03bd792b7c8190a41cccc308e252ad |
completed | May 12, 2026, 11:53 p.m. |
Created at: April 10, 2026, 10:25 a.m.