Triple
T15969062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porta Westfalica |
E387271
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object |
Kleinenbremen
Kleinenbremen is a village and former independent municipality in North Rhine-Westphalia, Germany, now part of the town of Porta Westfalica.
|
E1186273
|
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: Kleinenbremen | Statement: [Porta Westfalica, formedByMergerOf, Kleinenbremen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kleinenbremen Context triple: [Porta Westfalica, formedByMergerOf, Kleinenbremen]
-
A.
Breckerfeld
Breckerfeld is a small town in North Rhine-Westphalia, Germany, known for its rural character and location in the hilly, forested region of the Sauerland.
-
B.
Kneblinghausen
Kneblinghausen is a village and district (Ortsteil) of the town of Rüthen in the Soest district of North Rhine-Westphalia, Germany.
-
C.
Brinkum
Brinkum is a small municipality in the Leer district of Lower Saxony in northwestern Germany.
-
D.
Hummelsbüttel
Hummelsbüttel is a residential quarter in the borough of Wandsbek in Hamburg, Germany, known for its green spaces and suburban character.
-
E.
Espelkamp
Espelkamp is a small town in North Rhine-Westphalia, Germany, known for its post-war planned layout and light industrial economy.
- 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: Kleinenbremen Triple: [Porta Westfalica, formedByMergerOf, Kleinenbremen]
Generated description
Kleinenbremen is a village and former independent municipality in North Rhine-Westphalia, Germany, now part of the town of Porta Westfalica.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kleinenbremen Target entity description: Kleinenbremen is a village and former independent municipality in North Rhine-Westphalia, Germany, now part of the town of Porta Westfalica.
-
A.
Breckerfeld
Breckerfeld is a small town in North Rhine-Westphalia, Germany, known for its rural character and location in the hilly, forested region of the Sauerland.
-
B.
Kneblinghausen
Kneblinghausen is a village and district (Ortsteil) of the town of Rüthen in the Soest district of North Rhine-Westphalia, Germany.
-
C.
Brinkum
Brinkum is a small municipality in the Leer district of Lower Saxony in northwestern Germany.
-
D.
Hummelsbüttel
Hummelsbüttel is a residential quarter in the borough of Wandsbek in Hamburg, Germany, known for its green spaces and suburban character.
-
E.
Espelkamp
Espelkamp is a small town in North Rhine-Westphalia, Germany, known for its post-war planned layout and light industrial economy.
- 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.