Triple
T15969063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porta Westfalica |
E387271
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object |
Lerbeck
Lerbeck is a former municipality in North Rhine-Westphalia, Germany, that was incorporated into the town of Porta Westfalica.
|
E1189547
|
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: Lerbeck | Statement: [Porta Westfalica, formedByMergerOf, Lerbeck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lerbeck Context triple: [Porta Westfalica, formedByMergerOf, Lerbeck]
-
A.
Leuenberg
Leuenberg is a village in Switzerland known as the site where major European Protestant churches concluded the Leuenberg Agreement on church fellowship.
-
B.
Saerbeck
Saerbeck is a municipality in North Rhine-Westphalia, Germany, known for its pioneering role in renewable energy and climate protection initiatives.
-
C.
Lübbecke
Lübbecke is a small town in North Rhine-Westphalia, Germany, known for its location at the foot of the Wiehen Hills and its traditional brewing industry.
-
D.
Löhr
Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
-
E.
Röthlein
Röthlein is a small municipality in the Schweinfurt district of Bavaria, 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: Lerbeck Triple: [Porta Westfalica, formedByMergerOf, Lerbeck]
Generated description
Lerbeck is a former municipality 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: Lerbeck Target entity description: Lerbeck is a former municipality in North Rhine-Westphalia, Germany, that was incorporated into the town of Porta Westfalica.
-
A.
Leuenberg
Leuenberg is a village in Switzerland known as the site where major European Protestant churches concluded the Leuenberg Agreement on church fellowship.
-
B.
Saerbeck
Saerbeck is a municipality in North Rhine-Westphalia, Germany, known for its pioneering role in renewable energy and climate protection initiatives.
-
C.
Lübbecke
Lübbecke is a small town in North Rhine-Westphalia, Germany, known for its location at the foot of the Wiehen Hills and its traditional brewing industry.
-
D.
Löhr
Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
-
E.
Röthlein
Röthlein is a small municipality in the Schweinfurt district of Bavaria, 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_69ffcf1893388190800f013fab415ae7 |
completed | May 10, 2026, 12:19 a.m. |
| NEDg | Description generation | batch_69ffd049952081909221df73d3555557 |
completed | May 10, 2026, 12:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffd10ab484819089cd94ef07cb8de5 |
completed | May 10, 2026, 12:27 a.m. |
Created at: April 10, 2026, 4:54 a.m.