Triple
T8346483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koblenz |
E196047
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Karthause
Karthause is a residential district of the German city of Koblenz, known for its mix of housing areas, green spaces, and local amenities.
|
E727037
|
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: Karthause | Statement: [Koblenz, hasDistrict, Karthause]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karthause Context triple: [Koblenz, hasDistrict, Karthause]
-
A.
Marienthal
Marienthal is a district of the German city of Zwickau, known primarily as a residential area with local amenities and green spaces.
-
B.
Blatzheim
Blatzheim is a village and district within the town of Kerpen in North Rhine-Westphalia, Germany.
-
C.
Blockhaus
Blockhaus is a notoriously steep and decisive mountain in Italy’s Apennines, frequently used as a summit finish that shapes the general classification in the Giro d’Italia.
-
D.
Hausberg
Hausberg is a popular ski mountain and recreational area near Garmisch-Partenkirchen in the Bavarian Alps.
-
E.
Wildhaus
Wildhaus is a village in the Swiss canton of St. Gallen, known as the alpine birthplace of Protestant reformer Huldrych Zwingli.
- 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: Karthause Triple: [Koblenz, hasDistrict, Karthause]
Generated description
Karthause is a residential district of the German city of Koblenz, known for its mix of housing areas, green spaces, and local amenities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karthause Target entity description: Karthause is a residential district of the German city of Koblenz, known for its mix of housing areas, green spaces, and local amenities.
-
A.
Marienthal
Marienthal is a district of the German city of Zwickau, known primarily as a residential area with local amenities and green spaces.
-
B.
Blatzheim
Blatzheim is a village and district within the town of Kerpen in North Rhine-Westphalia, Germany.
-
C.
Blockhaus
Blockhaus is a notoriously steep and decisive mountain in Italy’s Apennines, frequently used as a summit finish that shapes the general classification in the Giro d’Italia.
-
D.
Hausberg
Hausberg is a popular ski mountain and recreational area near Garmisch-Partenkirchen in the Bavarian Alps.
-
E.
Wildhaus
Wildhaus is a village in the Swiss canton of St. Gallen, known as the alpine birthplace of Protestant reformer Huldrych Zwingli.
- 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_69ca82edd63c8190b876b8465464c5fa |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb8013d81c81908da48466cffb3939 |
completed | March 31, 2026, 8:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc73ccfb481908d0d189362404e09 |
completed | April 2, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69cdcb91e840819087808c5e846ad23f |
completed | April 2, 2026, 1:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdcd1181808190ae630d7c77565f9d |
completed | April 2, 2026, 1:57 a.m. |
Created at: March 30, 2026, 5:58 p.m.