Triple
T12446811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pattensen |
E297420
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Koldingen
Koldingen is a village and district of the town of Pattensen in Lower Saxony, Germany.
|
E985130
|
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: Koldingen | Statement: [Pattensen, hasSubdivision, Koldingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koldingen Context triple: [Pattensen, hasSubdivision, Koldingen]
-
A.
Kolding
Kolding is a historic Danish city in Southern Jutland known for Koldinghus Castle, its fjord-side location, and its role as a regional cultural and educational center.
-
B.
Oksbøl
Oksbøl is a town in southwestern Jutland, Denmark, known for its military training areas and historical role as a garrison location.
-
C.
Rudkøbing
Rudkøbing is a small historic town on the Danish island of Langeland, known for its well-preserved old streets and as the birthplace of physicist Hans Christian Ørsted.
-
D.
Skælskør
Skælskør is a small coastal town in western Zealand, Denmark, known for its historic harbor, scenic fjord, and traditional Danish architecture.
-
E.
Lemvig
Lemvig is a small coastal town in western Denmark known for its harbor, hilly landscape, and location along the Limfjord.
- 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: Koldingen Triple: [Pattensen, hasSubdivision, Koldingen]
Generated description
Koldingen is a village and district of the town of Pattensen in Lower Saxony, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Koldingen Target entity description: Koldingen is a village and district of the town of Pattensen in Lower Saxony, Germany.
-
A.
Kolding
Kolding is a historic Danish city in Southern Jutland known for Koldinghus Castle, its fjord-side location, and its role as a regional cultural and educational center.
-
B.
Oksbøl
Oksbøl is a town in southwestern Jutland, Denmark, known for its military training areas and historical role as a garrison location.
-
C.
Rudkøbing
Rudkøbing is a small historic town on the Danish island of Langeland, known for its well-preserved old streets and as the birthplace of physicist Hans Christian Ørsted.
-
D.
Skælskør
Skælskør is a small coastal town in western Zealand, Denmark, known for its historic harbor, scenic fjord, and traditional Danish architecture.
-
E.
Lemvig
Lemvig is a small coastal town in western Denmark known for its harbor, hilly landscape, and location along the Limfjord.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d90f18c819083a36ff4b9be4a20 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f132d048190b58a8381bdc74cad |
completed | May 2, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_69f6415f11d88190a9f77eb1890f76ef |
completed | May 2, 2026, 6:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64231606481909b8dd9d878670a6c |
completed | May 2, 2026, 6:28 p.m. |
Created at: April 8, 2026, 9:56 p.m.