Triple
T15969066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porta Westfalica |
E387271
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object |
Neesen
Neesen is a former locality in North Rhine-Westphalia, Germany, that was incorporated into the town of Porta Westfalica.
|
E1186276
|
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: Neesen | Statement: [Porta Westfalica, formedByMergerOf, Neesen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neesen Context triple: [Porta Westfalica, formedByMergerOf, Neesen]
-
A.
Nahe
Nahe is a river in western Germany, known for flowing through the Nahe wine region before joining the Rhine.
-
B.
Nahe
Nahe is a renowned German wine region, particularly celebrated for producing high-quality Riesling wines with diverse styles due to its varied soils and microclimates.
-
C.
Ruwer
Ruwer is a small wine-growing region in Germany’s Mosel area, noted for its cool climate and production of light, crisp white wines.
-
D.
Trichardt
Trichardt is a small town in Mpumalanga, South Africa, known for its close association with the nearby industrial and coal-mining hub of Secunda.
-
E.
Welper
Welper is a district of the town of Hattingen in North Rhine-Westphalia, Germany.
- 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: Neesen Triple: [Porta Westfalica, formedByMergerOf, Neesen]
Generated description
Neesen is a former locality in North Rhine-Westphalia, Germany, that was incorporated into the town of Porta Westfalica.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Neesen Target entity description: Neesen is a former locality in North Rhine-Westphalia, Germany, that was incorporated into the town of Porta Westfalica.
-
A.
Nahe
Nahe is a river in western Germany, known for flowing through the Nahe wine region before joining the Rhine.
-
B.
Nahe
Nahe is a renowned German wine region, particularly celebrated for producing high-quality Riesling wines with diverse styles due to its varied soils and microclimates.
-
C.
Ruwer
Ruwer is a small wine-growing region in Germany’s Mosel area, noted for its cool climate and production of light, crisp white wines.
-
D.
Trichardt
Trichardt is a small town in Mpumalanga, South Africa, known for its close association with the nearby industrial and coal-mining hub of Secunda.
-
E.
Welper
Welper is a district of the town of Hattingen in North Rhine-Westphalia, Germany.
- 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_69ffbe88fa308190942d37cf67458396 |
completed | May 9, 2026, 11:08 p.m. |
| NEDg | Description generation | batch_69ffbf3f40288190a59646124e06a864 |
completed | May 9, 2026, 11:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffbfddd0348190baab794f613c71bf |
completed | May 9, 2026, 11:14 p.m. |
Created at: April 10, 2026, 4:54 a.m.