Triple
T15969067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porta Westfalica |
E387271
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object |
Veltheim
Veltheim is a former municipality in North Rhine-Westphalia, Germany, that became part of the town of Porta Westfalica through a local government merger.
|
E1200755
|
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: Veltheim | Statement: [Porta Westfalica, formedByMergerOf, Veltheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veltheim Context triple: [Porta Westfalica, formedByMergerOf, Veltheim]
-
A.
Berlinghausen
Berlinghausen is a village within the municipality of Möhnesee in North Rhine-Westphalia, Germany.
-
B.
Nattheim
Nattheim is a municipality in the Heidenheim district of Baden-Württemberg in southern Germany.
-
C.
Tharandt
Tharandt is a small town in the Free State of Saxony, Germany, known for its historic forestry academy and scenic location in the Tharandt Forest near Dresden.
-
D.
Brackenheim
Brackenheim is a small town in the German state of Baden-Württemberg, best known as the birthplace of Theodor Heuss, the first President of the Federal Republic of Germany.
-
E.
Meisenthal
Meisenthal is a village in northeastern France renowned for its historic glassmaking tradition and cultural heritage.
- 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: Veltheim Triple: [Porta Westfalica, formedByMergerOf, Veltheim]
Generated description
Veltheim is a former municipality in North Rhine-Westphalia, Germany, that became part of the town of Porta Westfalica through a local government merger.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Veltheim Target entity description: Veltheim is a former municipality in North Rhine-Westphalia, Germany, that became part of the town of Porta Westfalica through a local government merger.
-
A.
Berlinghausen
Berlinghausen is a village within the municipality of Möhnesee in North Rhine-Westphalia, Germany.
-
B.
Nattheim
Nattheim is a municipality in the Heidenheim district of Baden-Württemberg in southern Germany.
-
C.
Tharandt
Tharandt is a small town in the Free State of Saxony, Germany, known for its historic forestry academy and scenic location in the Tharandt Forest near Dresden.
-
D.
Brackenheim
Brackenheim is a small town in the German state of Baden-Württemberg, best known as the birthplace of Theodor Heuss, the first President of the Federal Republic of Germany.
-
E.
Meisenthal
Meisenthal is a village in northeastern France renowned for its historic glassmaking tradition and cultural heritage.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1572847f08190830e30125e829766 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00077a54c88190ab94a558bfaecf2f |
completed | May 10, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_6a0009f631e08190aae358edc9ffad6b |
completed | May 10, 2026, 4:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a000a6de0488190ac72fb9eee9ec531 |
completed | May 10, 2026, 4:32 a.m. |
Created at: April 10, 2026, 4:54 a.m.